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Wheel Chair Control using BCI
SKU: PAN_RO_13
Category: Robotics
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- Principal Component Analysis
- Local binary pattern and shape features
- KNN and FNN classifier
- High Computational load and poor discriminatory power.
- LBP doesn’t differentiate the local texture region.
- FNN is slow training for large feature set.
- Less accuracy in classification
- Hybrid features involves colour features and texture descriptors
- ANN-Back Propagation Neural Network classifier
- Fast and better compatible in classification.
- Low computational complexity
- Better efficiency and less sensitive to noise
- High accuracy
- Take less time for process
- A for Asymmetry
- B for Border
- C for Color
- D for Diameter
- E for Elevation
- system
- 4 GB of RAM
- 500 GB of Hard disk
- MATLAB 2018b
- Principal Component Analysis
- Local binary pattern and shape features
- KNN and FNN classifier
- High Computational load and poor discriminatory power.
- LBP doesn’t differentiate the local texture region.
- FNN is slow training for large feature set.
- Less accuracy in classification
- Hybrid features involves colour features and texture descriptors
- ANN-Back Propagation Neural Network classifier
- Fast and better compatible in classification.
- Low computational complexity
- Better efficiency and less sensitive to noise
- High accuracy
- Take less time for process
- A for Asymmetry
- B for Border
- C for Color
- D for Diameter
- E for Elevation
- system
- 4 GB of RAM
- 500 GB of Hard disk
- MATLAB 2018b
VOLTAGE & CURRENT SENSOR & SIGNAL CONDITIONING CIRCUIT FOR DSP/FPGA/MCU
ARDUINO UNO R3 (DIP)
Arduino UNO SMD (CH340)
TMS320F2812 DSP starter kit
ARDUINO NANO
ARDUINO MEGA2560(ATMEGA16U2)
ARDUINO PROMINI
ARDUINO LILYPAD
ARDUINO DUE
NODE MCU -ESP12 (CP2102)
MSP430 Development Board
NODE MCU -ESP32 -30 PIN
NODE MCU- ESP32 - 38 PIN
NODEMCU D1-MINI
ARDUINO PRO MICRO
PMSM Motor Control Trainer Kit
ARDUINO LEONARDO
ARDUINO UNO CABLE (USB A-B) SHORT
ARDUINO UNO CABLE (USB A-B) LONG
NANO CABLE (MINI B ) SHORT
MOSFET BASED STEPUP STEPDOWN CHOPPERS
NANO CABLE (MINI B ) LONG
NODEMCU CABLE (MICRO USB)
37 IN 1 SENSOR KIT
Arduino Learning Kit Basic
Arduino development board
Arduino Advance Kit
1.8 Inch Arduino TFT Display
2.4 Inch Arduino TFT Display
3.5 Inch Arduino TFT Display
PIC Development Board
1.3 OLED
2*16 LCD
2*16 JHD LCD
4*20 LCD
dSPIC Development board
?24,000.00?Exc Tax
dsPIC Development board is proposed to smooth the progress of developing and debugging of various designs encompassing Microcontrollers from Microchip. It?s designed as to facilitate (dsPIC30F 40PIN DIP) On-board Programmer for PIC Microcontroller through ISP on Universal Serial port. It integrates on board USART,LEDs, keypads, 3 ADC inputs and LCD Display to create a stand-alone versatile test platform. User can easily engage in development in this platform, or use it as reference to application development.
Shipping : 4 to 5 days from the date of purchase
Warranty : 3 Months
100 in stock
Arduino GSM Shield
Arduino Motor Shield
Arduino Sensor Shield
Arduino LCD Shield
8279 Keyboard and display Interface Card
Arduino Nano Shield
Arduino Ethernet Shield
Jumper Cable Femalt to Female
Jumper Cable Female to Male
LCD & GLCD Interface Car
Jumper Cable Male to Male
RASPBERRY PI4 -4GB
RASPBERRY PI4 -2GB
RASPBERRY PI4 -1GB
RASPBERRY PI3 - MODEL B+
RASPBERRY PI3 - MODEL B
RASPBERRY PI ZERO-W
RASPBERRY PI ZERO
Seven Segment Display Interface Card
PI4 ADAPTER 5V 3.1AMPS
RASPBERRY PI4 CASE
RASPBERRY PI3 CASE WITH FAN
RASPBERRY PI ZERO CASE
TLP 250 DRIVER BOARD
RASPBERRY PI3 T-COUPLER
RASPBERRY PI3 CAMERA
PI ZERO CAMERA
16GB CLASS 10 MEMORY CARD
8085 Lab Trainer Kit
32GB CLASS 10 MEMORY CARD
MICRO SD CARD ADAPTER
HDMI TO VGA CONVERTER
HDMI TO VGA WITH AUDIO
8086 LabTrainer Kit
MICRO HDMI TO HDMI CONVERTER
MINI HDMI TO HDMI CONVERTER
30CM 20X2 FRC CABLE
RASPBERRY PI 3.5 TOUCH
5INCH HDMI TOUCH
7 INCH HDMI TOUCH
RASPBERRY PI NIGHT VISION CAMERA
4 IN 1 IR SENSOR MODULE
Brain Controlled Home Automation using Raspberry Pi
EMG MODULE
ECG SENSOR
HEARTBEAT SENSOR (clip type)
DS18B20 PROBE
Brain Controlled Robotic Arm
LM35
LDR 5MM
LDR 8MM
LDR 12MM
Brain Controlled Wheel Chair using Brain Sensor
LDR20MM
HUMIDITY 2 PIN (HR202)
DHT11 MODULE
DHT22 MODULE
Brain Control Robot using Arduino
SOIL MOISTURE MODULE
SOIL PH METER
PH SENSOR MODULE WITH CONTROLLER
PH SENSOR TTL
REED SENSOR
LASER DIODE
SOLENOID LOCK
SPEED SENSOR
MERCURY SENSOR
MERCURY MODULE
PRESSURE SENSOR DPMPX10
TSOP 1738 SENSOR
TSOP 1738 MODULE
MOC7811
SOUND SENSOR MODULE
OV7670 CAMERA MODULE
V380 WIFI CAMERA
USB WEB CAMERA
FLEX SENSOR 2.2 INCH CHINA
FLEX SENSOR 2.2 INCH ORIGINAL
FLEX SENSOR 4 INCH ORIGINAL
FORCE SENSOR 2.2 INCH
FORCE SENSOR 1.2 INCH
HX-711 LOADCELL CONTROLLER
APDS9960 MODULE
SD CARD READER MODULE
MPU6050 MODULE
RPR220 IR PAIR SENSOR
VIBRATION SENSOR MODULE
HR202 MODULE
L14F1 FIRE SENSOR
BUMP SENSOR
JOY STICK
COLOUR SENSOR
VOLTAGE SENSOR
CURRENT SENSOR ACS712 -5A
CURRENT SENSOR ACS712 -30A
MQ2 SENSOR
MQ3 SENSOR
MQ4 SENSOR
MQ6 SENSOR
MQ7 SENSOR
MQ9 SENSOR
CT COIL 1005
CT SENSOR MODULE
WATER LEVEL SENSOR PCB
ADXL 335 Mems Sensor
ADXL 345 Mems Sensor
FLAME SENSOR
TURBIDITY WITH CONTROLLER
HC-SR04 ULTRASONIC
TOUCH SENSOR
PULSE SENSOR
ST LINK PROGRAMMER
MAGNETIC DOOR SENSOR SMALL
MAGNETIC DOOR SENSOR BIG
ROTARY ENCODER MODULE
BMP180 PRESSURE SENSOR
WATER FLOW SENSOR
METAL DETECTOR 5V
METAL DETECTOR 12V
IR LONG RANGE
RAIN SENSOR MODULE
IR SENSOR MODULE
PIR
HALL SENSOR
PIR 360DEGREE
WATER LEVEL SENSOR WHITE SMALL
WATER LEVEL SENSOR WHITE BIG
MQ2 MODULE
MQ3 MODULE
MQ4 MODULE
MQ6 MODULE
MQ7 MODULE
MQ9 MODULE
MQ135 MODULE
PIR Mini
Water Proof Ultrasonic Sensor
GSM SIM800L Serial
GSM SIM800L TTL
GSM SIM800A
GSM SIM800C
GPS NEO6M
RFID - EM18 TTL
RFID - EM18 SERIAL
RFID - RDM6300 (125KHZ)
RFID -RC522 (13.35MHZ)
FINGERPRINT R307
FINGERPRINT R305
ZIGBEE PAIR
HC-12 PAIR
RF 434MHZ PAIR
RF 315MHZ PAIR
CAN MODULE PAIR
LORA - RA02 PAIR
NRF24L01 PAIR
ZIGBEE MODULE PAIR (SERIES2)
POWER LINE COMMUNICATION (KQ330)PAIR
HC-05 BLUETOOTH MODULE
SMART CARD READER MODULE
USB2 SERIAL MODULE (CP2102)
USB2 TTL MODULE (CP2102)
USB2 TTL MODULE (PL2303)
FT232 CONVERTER
RS485 TO TTL
USB2 RS485 INDUSTRIAL
WIFI ESP8266-01
WIFI ESP8266-12E
MOSFET MODULE with Driver
WIFI ESP8266-12F
WIFI AND BLUETOOTH ESP8266-32
Serial Ethernet
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Glaucoma Detection using CNN and Matlab
Leaf Disease Detection using CNN with OpenCV
People Counting in real time using OpenCV
Human Identification from Freestyle Walks using Posture Gait Feature
Food Recognition using Customized Model with OpenCV
PIC Development Board
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Age and Gender Estimation in realtime video processing using OpenCV
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Kidney Stone Detection using CNN
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Image Forgery Detection using Matlab
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Aircraft Recognition In Satellite Images using Matlab
Student Placement Prediction using Machine Learning
The main objective of this project is to analyse previous year?s student?s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions using Machine Learning Algorithms.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Text Summarization using NLP I Machine Learning
The objective of the project is to understand the concepts of natural language processing and create a tool for text summarization. The concern in automatic summarization is increasing broadly so the manual work is removed. The project concentrates on creating a tool that automatically summarizes the document.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Heart Disease Detection using Big Data using ML
In this project, we create a model to do the accurate prediction of heart disease problems in health care applications. Easier to analyse the scalable of health care big data. Less time consumption with the efficiency of data in heart disease. High performance in data maintained of heart disease prediction.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Employee Attrition using Machine Learning
The main objective of this project is to predict the employee attrition rate using Machine Learning Algorithms such as SVM and Naive Bayes algorithms. After the results obtained, the performance of the model is evaluated by calculating the accuracy score and showing it in the form of a confusion matrix.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Smart Farming using Machine Learning Algorithm
In this concept, we create Machine Learning Model for Smart Farming. Smart Farming Prediction and the recommendation can be made using Space Vector Modulation Classification and Neural Network Algorithm.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Alzheimer Disease Detection using Machine Learning | OpenCV
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Churn Modelling Analysis using Deep Learning | Machine Learning Projects
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Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
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Diabetes Prediction using Machine Learning
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Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Human Pose Estimation using OpenCV
Lung Cancer Detection using Deep Learning and OpenCV
Realtime Object Detection using OpenCV
Exam Hall Monitoring using OpenCV
Currency Detection using Similarity Indices Method using OpenCV
Hand Gesture Recogntion for Deaf and Dumb aid Communication
Gesture Recognition using CNN | Opencv and Python
Face Emotion Recognition using CNN | Opencv and Python
Medical Image Segmentation using Cuckoo Search Optimization I Matlab
Person Identification & Classification using LBP & Hog | Matlab
Wheel Chair Control Based on Eye Ball Cursor using Raspberry Pi and OpenCV
Diabetic Retinopathy Detection using Groud Truth Segmentation
Multi-Level Image Retrieval for Large Scale Images
DNA Fragmentation Pattern Recognition using Neural Networks
Palm Vein Pattern Recognition using Matlab
Liver Tumor Detection using Neural Networks and Matlab
Melanomand Benign Skin Lesion Classification using Back propagation Neural Network
Haze Removal using Matlab
Pancreatic Cancer Detection using Neural Network
ECG Signal Classification using CWT and NN
Brain Tumour Detection With Image Fusion
White Light Detection Based Adaptive Lighting using Raspberry Pi and OpenCV
Smart Blind Stick using Raspberry Pi
IoT based Blind People Navigation System using Node MCU
IoT based Bus Tracking System using Raspberry Pi
Smart Trolley Based on Colour Tracking using Raspberry Pi and OpenCV
Digital Door Lock With Mail Alert using Raspberry Pi and OpenCV
Drowsiness Detection using using Raspberry Pi and OpenCV
IoT based Waste Segregation System using Node MCU
Energy Meter using Arduino
Fire Fighting Robot using Raspberry Pi and OpenCV
Health Monitoring System using Arduino
Fire Detection using OpenCV with Raspberry Pi
Pick and Place Robot Raspberry Pi
Refrigerator Stock Monitoring using Raspberry Pi and OpenCV
Road Sign Recognition using Raspberry Pi and OpenCV
Vechile Distance Dection using Arduino
BCI Home Automation using Arduino
Drowsiness Detection using Brain Computer Interface
BCI Virtual Keyboard using Raspberry Pi
BCI based Password Validation using Matlab
Smart Helmet using Node MCU
Vehicle to Vehicle Communication system using IoT and Node MCU
Baby Monitoring System using IoT and Node MCU
Traffic Density Monitoring using OpenCV
Forest Fire Detection using LoRa
Gesture Controlled Home Automation using Raspberry Pi and OpenCV
VLC MediPlayer using Hand Gesture | Opencv
Number Plate Recognition using OpenCV
Secure File Sharing System using Data Mining
Secure Data Sharing for Dynamic Groups | Cloud Computing
Deduplication for Hybrid Cloud Security
Graphical Password Scheme using Information Security
Multifarious Data Prossessor In Network Security
Malware Detection in Android Application
Attendance Management System Based on Chatbot
IoT based Smart Shopping Cart using RFID and Raspberry Pi
SMS Application using AES Algorithum
Smart Bus Ticketing System using Qr Code | Android
Crime Pattern Recongization using Android
Lip Movement Detection using Raspberry Pi
Online Examination Portal
College Students Career Counselling Expert System
Online Crime Reporting System
Online Examination System using Raspberry Pi
E Library Management Sytem
Pharmercy Management System
Online Life Insurance Sytem
Railway Ticket Reservation System
Web Application for Institution
College Management System
KDD & Data Mining Approach for Finding Network Attacks using ML
The objective of the project to find the Network attacks using KDD Datas and Data Mining Approach.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Cyber Threat Analysis on Android Apps using Machine Learning
To prevent malware attacks, researchers and developers have proposed different security solutions, applying static analysis, dynamic analysis, and artificial intelligence. Indeed, data science has become a promising area in cybersecurity, since analytical models based on data allow for the discovery of insights that can help to predict malicious activities.?We can analyse cyber threats using two techniques, static analysis, and dynamic analysis, the most important thing is that these are the approaches to get the features that we are going to use in data science.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student Performance Prediction using Machine Learning
The proposed framework focuses on merging the demographic and study related attributes with the educational psychology fields, by adding the student’s psychological characteristics. After surveying, we picked the most relevant attributes based on their rationale and correlation with the academic performance.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Hashtag Clustering using NLP | Machine Learning
We apply the ML model on datasets like Twitter, Flickr, and YouTube. It will predict a similar type of hashtag with a detailed description. Unsupervised word embedding methods train with a reconstruction objective, in which the embedding is used to predict the original text.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Tkinter Chatbot Application using NLP
The idea of visualizing data by applying machine learning and pandas in python. Taking dataset from a medical background of different people (prime Indians dataset from UCI repository). This data set consists of information on the user’s age, sex type of symptoms related to diabetes. Design a testing and training set and predict are chances of patients having diabetes in the coming five years. Data is classified and shown in the form of different graphs.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Credit Card Detection using Optical Character Recognition
Fog Removal using Adversarial Networks with OpenCV
Face Pain Detection using OpenCV
Bicycle Accident Detection using Yolo Datasets
Handwritten Digit Image Classification using OpenCV
Flower Classification using DNN Transfer Learning
Handwritten Passwords for Touchscreen Biometrics using OpenCV
CCTV Footage Activities Monitoring using Deep CNN & Alex net
Digital Art using computer vision
Drowsiness Detection using OpenCV
Fire Detection using OpenCV
Third generation ATM using Fisher Face Recognition with OpenCV
Eyeball cursor virtual keyboard using OpenCV
U Shape Slotted ISM Band Antenna Design
Array Antenna for Wireless Communication
Slotted Microstrip MIMO Antenna for 5G Mobile Applications
Dual Band E Shape Slotted Antenna for Mobile Application
Multilayer Antenna Design using HFSS
Reconfigurable Antenna Design
Millimeter Wave Center Slot Antenna for 5G Applications
Wide Band Slotted Circular Ring Patch Antenna Design
Parasitic Patch Antenna Design using HFSS
Microstrip Patch Antenna Design for Wi-Fi Application
Multi Slotted Microstrip Patch Antenna for Multiple Wireless Applications
Dielectric Rectangular Resonator Antenna
Multi-Band MIMO Antenna Design for 4G and 5G Mobile Terminals
Fractal Antenna Design using HFSS
Milli meter Wave Doughnut Slot MIMO Antenna
Monopole Antenna for Indoor MIMO
Monopole Antenna for Quad Band
Multi Rectangular Slotted Hexa Band Micro Strip Patch Antenna
Switchable Frequency Slot Ring Antenna
Robust Design of Spectrum Sharing Network
Energy Efficient UAV Assisted Communication With Spectrum Optimization
Non Orthogonal Multiple Access Technique In 5G Communication System
Performance Evaluation for 5G NR Based MM Wave MIMO Systems
Encrypted Image Transmission Over OFDM System
Cooperative Spectrum Sensing In Communication System
Human Action Recognition using Neural Networks MATLAB
Chromosome Type Classification using Deep Learning | OpenCV
Speech Emotion Recognition using Deep Learning | Matlab
Logo Detection using Deep Learning OpenCV | Python
Food Calories Detection using Deep Learning OpenCV | Python
Digital Art using Computer Vision - OpenCV | Python
Social Distance Detection using OpenCV
Optical Character Recognition using Opencv | Python
Barcode and QR Code Recognition using OpenCV | Python
Arrythmia classification using Python
License Plate Recogntiont using Supervised Learning with OpenCV
Human Face Counting using OpenCV
Object Recognition using Kinect Sensor |OpenCV
Design and Analysis of Area and Power Efficient Approximate Booth Multipliers
Face to Voice for visually impaired using Raspberry Pi
Home Automation System Through E-Mail using Raspberry Pi
Toll Management System using Raspberry Pi and OpenCV
Autonomous Boat for Fisherman Border Security using Raspberry Pi
28-nm CMOS for High-Density Interconnects
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Handwritten Digit Classification Using Deep Neural Network In Matlab
Accurate Shadow Detection and Removal from High-Resolution Satellite Images
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Sleep Apnea Monitoring System using IoT and Arduino
Automatic Ambulance Rescue System Using Arduino
Smart ATM Security using Raspberry Pi and OpenCV
IoT based Baggage Tracking System using RFId and Node CMU
Intelligent Coal Mine Monitoring System based on the lora-cloud
Digital Art - Drawing In The Air Through Camera
A Low Power 1V Supply Dynamic Comparator
2-Bit flash analog to digital converter using CMOS logic
Analysis of Secure Hash Algorithm (SHA) 512 for Encryption
FPGA Based Robotic ARM Controller using Spartan 3AN
Gesture based Home Automation system using Spartan 6
LOW POWER COMPARATOR DESIGN USING REVERSIBLE LOGIC GATES
DUAL EDGE-TRIGGERED D-TYPE FLIP-FLOP WITH LOW POWER CONSUMPTION
Adder design using Low Power Digital design Techniques
Detection Oil Spill In Satellite Based Synthetic Aperture Radar (SAR) Images By Neural Network
Rainfall Prediction using Machine Learning
The objective is to create a ML Model by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Credit Card Fraud Detection using Deep learning
In this Project, we are building a Machine Learning Model to detect the Credit Card Fraud using Random Forest Algorithm. Random Forest is an algorithm for classification and regression. Summarily, it is a collection of decision tree classifiers. The random forest has an advantage over the decision tree as it corrects the habit of overfitting to their training set. A subset of the training set is sampled randomly so that to train each individual tree and then a decision tree is built, each node then splits on a feature selected from a random subset of the full feature set.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Fake News Detection using Machine Learning
The main objective is to detect fake news, which is a classic text classification problem with a straightforward proposition. It is needed to build a model that can differentiate between Real news and Fake news using Machine Learning Algorithm.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Fake Profile Identification using Machine learning
This project is about to create a framework, by this we can detect a fake profiles using ML algorithms, makes people social life more secure. The model presented in this project demonstrates that Support Vector Machine (SVM) is an elegant and robust method for binary classification in a large dataset. Regardless of the non-linearity of the decision boundary, SVM is able to classify between fake and genuine profiles with a reasonable degree of accuracy (>90%)
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Stock Market Prediction using Machine Learning
The objective of this project is to review totally different techniques to predict stock worth movement victimization the sentiment analysis from social media, data processing. During this process, we are going to realize economic technique which may predict stock movement additional accurately. Social media offers a robust outlet for people’s thoughts and feelings it’s a fast-ever-growing supply of texts starting from everyday observations to concerning discussions
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student Performance Analysis using Machine Learning
Performance analysis of outcomes based on learning is a system that will strive for excellence at different levels and diverse dimensions in the field of students’ interests.? The proposed framework analyse the students demographic data, study-related and psychological characteristics to extract all possible knowledge from students, teachers, and parents. Seeking the highest possible accuracy in academic performance prediction using a set of powerful data mining techniques.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student feedback classification using Random Forest with ML
This project is about to create a framework, by this we can detect a fake profiles using ML algorithms, makes people social life more secure. The model presented in this project demonstrates that Support Vector Machine (SVM) is an elegant and robust method for binary classification in a large dataset. Regardless of the non-linearity of the decision boundary, SVM is able to classify between fake and genuine profiles with a reasonable degree of accuracy (>90%)
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Liver Disease Prediction using Machine Learning
The objective of this project to create a ML Model to predict the liver disease from the huge liver disease datasets using the algorithms. Time complexity and accuracy can measured by various machine learning models ,so that we can measures different. Risky factors can be predicted early by machine learning models.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Loan Approval Prediction using Machine Learning
The primary goal of this project is to extract patterns from a common loan-approved dataset, and then build a model based on these extracted patterns, in order to predict the likely loan defaulters by using classification data mining algorithms. The historical data of the customers like their age, income, loan amount, employment length etc. will be used in order to do the analysis.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Hate speech Detection using Machine learning
This aims to classify textual content into non-hate or hate speech, in which case the method may also identify the targeting characteristics (i.e., types of hate, such as race, and religion) in the hate speech. To Analysis of the language in the typical datasets to get hate speech by features in the ?long tail? in a dataset using Machine Learning.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Ground Water level Prediction using Machine Learning
Models for the prediction of water table depth were developed based on Artificial Neural Networks (ANN) with different combinations of hydrological parameters. The best combination was confirmed with factor analysis. The input parameters for groundwater level forecasting were derived using Time Series Analysis (TSA).
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Road accident Analysis and classification using Machine Learning
Models are created using accident data records which can help to understand the characteristics of many features like driver’s behaviour, over speed, mobile usage, sleeping conditions. This can help the users to compute the safety measures which is useful to avoid accidents. It can be illustrated how statistical method based on directed graphs, by comparing two scenarios based on out-of-sample forecasts. The model is performed to identify statistically significant factors which can be able to predict the probabilities of crashes and injury that can be used to perform a risk factor and reduce it.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Human activity Recognition using Machine Learning
Building a ML Model to recognize the Human Activity using Machine Learning Algorithms. A Bayesian network has been applied for activity prediction based on individual and multiple appliance usage.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Crime Analysis using Machine Learning
The objective of this project is build a ML model to analyse the Crime using K Means. Analysing and examining crimes happening in the world will give us a Broadview in understanding the crime regions.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Intrusion Detection using Machine Learning
The objective of the project is to build a Intrusion Detection Model using Machine Learning. An intrusion detection system (IDS) is a system that monitors and analyses data to detect any intrusion in the system or network.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
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Skin Cancer Deteciton Using ABCD Rule
SKIN CANCER DETECTION USING ABCD RULE
Abstract:
Human Cancer is one of the most dangerous diseases which is mainly caused by genetic instability of multiple molecular alterations. Among many forms of human cancer, skin cancer is the most common one. To identify skin cancer at an early stage we will study and analyze them through various techniques named as segmentation and feature extraction. Here, we focus malignant melanoma skin cancer, (due to the high concentration of Melanoma- Hier we offer our skin, in the dermis layer of the skin) detection. In this, we used our ABCD rule dermoscopy technology for malignant melanoma skin cancer detection. In this system different step for melanoma skin lesion characterization i.e, first the Image Acquisition Technique, pre-processing, segmentation, define feature for skin Feature Selection determines lesion characterization, classification methods. In the Feature extraction by digital image processing method includes, symmetry detection, Border Detection, color, and diameter detection and also we used LBP for extract the texture based features. Here we proposed the Back Propagation Neural Network to classify the benign or malignant stage.
Introduction
Skin cancers are cancers that arise from the skin. They are due to the development of abnormal cells that have the ability to invade or spread to other parts of the body.
There are three main types of skin cancers: basal-cell skin cancer (BCC), squamous cell skin cancer (SCC) and melanoma. The first two, along with a number of less common skin cancers, are known as non melanoma skin cancer (NMSC).
Basal-cell cancer grows slowly and can damage the tissue around it but is unlikely to spread to distant areas or result in death. It often appears as a painless raised area of skin that may be shiny with small blood vessel running over it or may present as a raised area with an ulcer.
Squamous-cell skin cancer is more likely to spread. It usually presents as a hard lump with a scaly top but may also form an ulcer. Melanomas are the most aggressive.
Signs include a mole that has changed in size, shape, color, has irregular edges, has more than one color, is itchy or bleeds.. A skin that has inadequate melanin is exposed to the risk of sunburn as well as harmful ultraviolet rays from the sun .Clinical analysis and biopsy tests are commonly used.
Existing Systems
Draw backs of Existing method
Proposed Method
Advantages
Block Diagram
Block Diagram Explanation
Colour Space Conversion
Color space conversion is happens when a Color Management Module (CMM) translates color from one device’s space to another. Conversion may require approximations in order to preserve the image’s most important color qualities.
The use of color in image processing is prompted with the useful resource of number one factors. First, shade is a powerful descriptor that frequently simplifies object identity and extraction from a scene. Second, human beings can determine plenty of shade solar shades and intensities, in comparison to approximately only two dozen sun sunglasses of gray. This 2d aspect is especially important in manual photo assessment
GLCM feature extraction
In statistical texture analysis, texture features are computed from the statistical distribution of observed combinations of intensities at specified positions relative to each other in the image. According to the number of intensity points (pixels) in each combination, statistics are classified into first-order, second order and higher-order statistics.
The Gray Level Co ocurrence Matrix (GLCM) method is a way of extracting second order statistical texture features. The approach has been used in a number of applications, Third and higher order textures consider the relationships among three or more pixels.
ABCD Parameters
The ABCDE Rule of skin cancer is an easy-to-remember system for determining whether a mole or growth may be cancerous. They describe the physical condition and/or progression of any skin abnormality that would suggest the development of a malignancy.
BPN Training and Classification
As is clear from the diagram, the working of BPN is in two phases. One phase sends the signal from the input layer to the output layer, and the other phase back propagates the error from the output layer to the input layer. For training, BPN will use binary sigmoid activation function Back-propagation is the essence of neural net training. It is the method of fine-tuning the weights of a neural net based on the error rate obtained in the previous epoch (i.e., iteration). Proper tuning of the weights allows you to reduce error rates and to make the model reliable by increasing its generalization
Requirement Specifications
Hardware Requirements
SOFTWARE REQUIREMENTS:
REFERENCES
[1]Adheena Santy and Adheena Santy,Segmentation Methods For Computer Aided Melanoma Detection,IEEE Conference,2015.
[2] Omar Abuzaghleh, Miad Faezipour and Buket D.Barkana ,A Comparison of Feature Sets for an utomated Skin Lesion Analysis System for Melanoma Early Detection and Prevention,IEEE journal,2015.
[3] M. Rademaker and A. Oakley,Digital monitoring by whole body photography and sequential digital dermoscopy detects thinner melanomas,IEEE journal,2010.
[4] Xiaojing Yuan, Zhenyu Yang, George Zouridakis, and Nizar Mullani >
[5] Abder-Rahman Ali, Micael S. Couceiro, and Aboul Ella Hassenian ,Melanoma Detection Using Fuzzy CMeans Clustering Coupled With Mathematical Morphology,IEEE Conference,2014
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Multiagent Autonomous Learning For Distributed Channel Allocation In Wireless Network
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Aquabot
Lane and Curve Detection using Deep Learning
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Matlab Code for Hand Tracking
Fault Classification using deep Learning
Liver tissue segmentation in microscopic images using fusion color space and multiscale morphological reconstruction
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Real time color classification of objects from video streams
Fabric Fault Detection Using Image Processing
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Thumbprint Image Enhancement and Minutiae Extraction
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Natural Scene Classification using Image processing
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PCB fault detection using Image Processing
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Blood Group Detection based on Image processing
Hand Landmark Detector using Matlab
Depth Estimation using Stereo Camera and OpenCV
Eyeglasses detection on face images using Image Processing
Dictionary Based Image Segmentation
Fuzzy c-means Segmentation using Image Processing
Character Recognition using Backpropagation Neural Network
Active Contour Segmentation using Image processing
Detecting Diseases in Gastrointestinal Biopsy Images using deep learning
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Dental Caries Detection System using Image processing
Deep Learning based Fire detection using yolo
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Matlab code for DCT based Watermarking
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Matlab Code for Steganography using DWT
Matlab Code for Steganography using DCT
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Vision-Based Mobile Robot Navigation Using Image Processing
Real-time Distracted Driver Posture Classification using Matlab
Real time vehicle classification using deep learning Matlab
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Palmprint recognition using Deep Learning
COVID-19 Detection in Xray Images using Matlab
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Visual Cryptography using Matlab
3-D video based brain tumor detection
Cardiac Image Classification using Matlab
Disparity mapping using Matlab
Matlab Code for Thyroid detection using thermal images
Food ingredients detection system using Matlab
Coral plants classification using Matlab
Cervical Cancer Classification using Matlab
Fruit Detection System Using Deep learning
Tamil character recognition using Deep learning
Distance measurement using Image processing
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Multimodal Biometric Recognition system
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Matlab Code for Image Encryption
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Matlab Code for Head Pose Recognition
Matlab Code for Segmentation based on Skin Colour
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Matlab Code for Shape Recognition using Correlation
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Gender Recognition using Image Processing
Matlab Code for Image Thresholding
Region growing segmentation using Matlab
Image Segmentation using Snake Algorithm
Image Segmentation using Morphological Operations
Image Denoising using Pretrained Neural Network-Matlab
Image Deblocking using Deep Learning
Scene Change Detection using Matlab
Object Detection in a Cluttered Scene
Digit Classification Using HOG Features
Image Registration using Matlab
Video Tracking using Optical Flow
Video Tracking using Kalman Filter
Image Category Classification using Deep Learning
Matlab Code for Landmark Recognition using Deep Learning
Matlab Code for Depth Estimation using Image Processing
Matlab Code for Logo Recognition
Vehicle Identification Using Deep learning for ADAS
Matlab Code for Wavelet Denoising
Matlab code for pothole detection using Image processing
Matlab code for Watershed Segmentation
Matlab Code for Real time QR Code recognition
Matlab for Image Super Resolution
Image Classification using GoogLeNet for Visually Impaired
Fruit Recognition using Deep Learning
Malnutrition Detection using Deep Learning
Real Time Leaf Disease Detection using Alexnet
Banana Leaf Disease Detection using CNN
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Matlab Code for Fish Counting
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Biometric Security System Using Palmprint And Cryptanalysis
Face Recognition using Matlab - Real Time Approach
Image Quality Assessment for Fake Biometric Detection
Reversible Data Hiding For Compressed Images
Matlab Code Using Detecting Unfocused Raindrops
Matlab Code for Segmentation of Image using Otsu Thresholding
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Moving Object Detection using Background Subtraction in Matlab
Text Extraction and Recognition using Matlab
Cloth Type Detection using Segmentation and Classifier using Matlab
Leukocytes Classification and Segmentation in Microscopic Blood Smear
Disparity Matching of 2D Images using Matlab
Matlab Code for Image Fusion for Satellite Images
Matlab Code for content based Image Retrieval
Matlab Code for Cloth Classification
Brain Pressure Analysis using Neural Networks
Matlab Code for Image Dehazing using Image Processing
Fruit Disease Detection using Image Procesing
Matlab Code for Face Recognition using Combined SIFT
ECG Signal Steganography using Matlab
Oral Cancer Detection using Image Processing
Kidney Stone Analysis using Matlab
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Tuberculosis Detection in XRAY Images using Matlab
Image Compression using Huffman Coding and Run Length Coding
Blood Vessel Segmentation in Retinal Images using Matlab
Shadow Detection and Removal in Images using Matlab
Quality Testing of Rice grains using Neural Network
Food Calorie Measurement Using Matlab
Matlab Code for Audio Steganography
Moving Object Detection and Tracking using SIFT with K-Means Clustering
Image Compression using Run Length Encoding
Matlab Code for Image Extraction
Matlab code for Eye Tracking
Matlab code for Image Compression using RoI
Matlab code for Optical Character recognition
Matlab Code for Edge detection
Matlab code for Iris Recognition
Matlab code for Blood Vessel Segmentation
Matlab Code for Integer Wavelet Transform
Matlab code for Image Retrieval for medical images
Matlab Code for Image fusion
Matlab code for Face Recognition using Gabor Features
Matlab code for complex wavelet transform
Matlab code for 3D SPIHT
Matlab code for Wavelet Based Image Fusion
Matlab Code for 3 Dimensonal Discrete Wavelet Transform
Matlab Code for Image Restoration
Matlab code for Image Fusion using Neuro Fuzzy
Matlab Code for Iris Segmentation
Matlab Code for Background Estimation using Mode Algorithm
Matlab Code for Face Recognition using Eigen Faces
Matlab Code for Image Segmentation using K Means
Matlab Code for Image Fusion using PCA
Matlab code for Digital Watermarking
Matlab code for Diabetic Retinopathy using HSV and Fuzzy
Matlab code for Image Compression using DCT and DWT
Matlab Code for Image Inpainting
Matlab code for Background Subtraction using Fuzzy
Matlab code for Real Time Face Detection and Tracking
Matlab Code for Image Compression using Zero Wavelet EZW
Matlab Code for Image Compression using SPIHT
Matlab Code for Motion Detection
Matlab code for Detection of Microcalcification
Matlab Code for LSB Steganography
Matlab Code for Target Detection
Matlab code for Pixel level Image Fusion using Minimum Method
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Matlab Code for Parking Space Detection
Matlab Code for Smile Detection
Matlab Code for Facial Landmark Detection
Matlab Code for Object Recogntion using Alexnet
Hybrid Buck - Boost Multi Output Quasi Z-Source Converter With Dual DC and Single AC Outputs
Single Phase Grid Connected PV System using Landsman Converter With MPPT Algorithm
Solar Powered BLDC Motor Driver Using LUO Converter
Transformerless Five Level Grid Tied Inverter for Photovoltaic Applications
Off-board electric vehicle battery charger using PV array
A Dual-Active-Bridge-based Fully-ZVS HF-isolated Inverter With Low Decoupling Capacitance
A New Transformer-less Five-level Grid-Tied Inverter for Photovoltaic Applications
Hybrid Buck-Boost Multi Output Quasi Z-Source Converter with Dual DC and Single AC Outputs
A novel bidirectional t-type multilevel inverter for electric vehicle applications
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Face Emotion Recognition using Raspberry Pi and OpenCV
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Text and Label Reading using Raspberry Pi and OpenCV
Real time object recognition using Raspberry Pi and OpenCV
Real time Face Detection using Raspberry Pi and OpenCv
Self-navigating robot using Lidar with Raspberry Pi
Power Monitoring System Using Raspberry Pi
Multiple face detection using Raspberry Pi and OpenCV
Moving Object Detection using Raspberry Pi and OpenCV
Compensation of Voltage Sag Using DVR with PI Controller
Design and Analysis of High Gain Modified SEPIC Converter for Photovoltaic Applications
Speed Control of Single Phase Induction Motor Using AC Chopper by Asymmetrical PWM Method
Power Factor Improvement in Modified Bridgeless Landsman Converter Fed EV Battery Charger
Commutation Torque Ripple Reduction in BLDC Motor Using Modified SEPIC Converter and Three-level NPC Inverter
Sliding Mode Control of Single-Phase Grid- Connected Quasi-Z-Source Inverter
Robust Sliding-Mode Control Design for a Voltage Regulated Quadratic Boost Converter
Design & Simulation of a SEPIC Converter for Home Solar PV Systems
Design Of An Integrated Dynamic Voltage Restorer-Ultracapacitor For Improving The Power Quality Of The Distribution Grid
Enhancement of Solar Farm Connectivity with Smart PV Inverter PV-STATCOM
Hybrid Structure of Static Var Compensator and Hybrid Active Power Filter (SVC//HAPF) for Medium-Voltage Heavy Loads
Application of UPQC for Power Quality Improvement in Induction furnace
Reconfigurable Bidirectional Wireless Power Transceiver for Battery Charging
Electronic Notice Board using Raspberry Pi
Bidirectional Partial Power Converter Interface for Energy Storage Systems to Provide Peak Shaving in Grid-Tied PV Plants
Medication Reminder using Raspberry Pi
Drunk Driving Detection with Car Ignition Locking Using Raspberry Pi
Digital Art Drawing using Raspberry Pi and OpenCV
Google Assistant Home Automation using Raspberry Pi
Pick and Place Robot using Raspberry Pi and OpenCV
Smart Receptionist using Raspberry Pi and OpenCV
Vision based Wifi Control Robot control Raspberry Pi and OpenCV
Weather Logger using Raspberry Pi
Smart library Management system using Raspberry Pi
Brain Controlled Robot using Raspberry Pi
Home Automation System using NFC and Raspberry Pi
Talking standee using Raspberry Pi
Smart Pharmacy using Raspberry Pi
Moving Object tracking using Raspberry and Open CV
Flood Intimation through SMTP using Raspberry Pi
Wildlife photography using Raspberry Pi and Open CV
Automatic selfie camera using Raspberry Pi with Open CV
Light sensing robot using Raspberry Pi and OpenCV
Smart umbrella using Raspberry Pi
Water level Management using Raspberry Pi
Road Accident Analysis using Raspberry Pi
Curved Lane Detection using Raspberry Pi and OpenCV
Object Sorting based on color using Raspberry Pi and OpenCV
Digital Tachometer using Raspberry Pi
Voice Assistance using Android app and Raspberry Pi
Smart Navigation System for Blind People using Raspberry Pi and OpenCV
Pick and Place Robot
Power quality improvements in a zeta converter for brushless dc motor drives
Wireless power transfer for electric vehicle applications
Single-stage low cost grid connected inverter in photovoltaic energy applications?
New five-level active neutral-point-clamped converter
Improved active power filter performance for renewable power generation systems
Ultra Lift LUO Convertor Using Cockcroft Walton Multiplier
Cascaded two-level inverter-based multilevel statcom for high-power applications
High step-up dc-dc converter based on three-winding coupled inductor
A PWM and PFM hybrid modulated three-port converter for a standalone PV/battery Power system
Modified sepic converter with high static gain for renewable applications
A modified sepic converter with high static gain for renewable applications
Forest Fire Detection using Drone
Gesture Controlled Robot using Raspberry Pi and OpenCV
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
ZCD Module
TMS320F2812 DSP Starter Kit
MSP430 Development Board
MOSFET BASED STEPUP STEPDOWN CHOPPERS
Arduino Development Board
PIC Development Board
dSPIC Development Board
₹24,000.00 Exc Tax
dsPIC Development board is proposed to smooth the progress of developing and debugging of various designs encompassing Microcontrollers from Microchip. It’s designed as to facilitate (dsPIC30F 40PIN DIP) On-board Programmer for PIC Microcontroller through ISP on Universal Serial port. It integrates on board USART,LEDs, keypads, 3 ADC inputs and LCD Display to create a stand-alone versatile test platform. User can easily engage in development in this platform, or use it as reference to application development.
Shipping : 4 to 5 days from the date of purchase
Warranty : 3 Months
100 in stock
8279 Keyboard and Display Interface Card
LCD & GLCD Interface Car
Seven Segment Display Interface Card
TLP 250 DRIVER BOARD
8085 Lab Trainer Kit
8086 Lab Trainer Kit
Coal Mine Monitoring System using Raspberry Pi and MQTT
Brain Controlled Home Automation using Raspberry Pi
Brain Controlled Robotic Arm
Brain Controlled Wheel Chair using Brain Sensor
Brain Control Robot using Arduino
Speed Control of Single Phase Induction Motor using Node MCU - Hardware Design
This project is design to control the speed of a single-phase induction motor by using Node MCU controller. The single-phase inverter converts dc voltage into ac voltage and the induction motor speed depends on the frequency of the inverter. The inverter card comes with an inbuilt full bridge rectifier and filter capacitor.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of BLDC Motor using LUO Converter
This project is proposed to control the speed of the BLDC motor using LUO converter. This Project Model build with LUO Convertor Techniques and the Pulses can be triggered using dsPIC Controller. The closed loop feedback system is design using the Hall Sensor.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Three Phase Induction Motor Speed Control using dSPIC Controller
This project describes the speed control of the Induction motor with dsPIC30F4011 controller and by comparing the sine and triangular wave. The dsPIC Controller generates the switching pulses for the inverter and the speed control is done by changing the frequency of reference sine and amplitude of sine. The motor speed is measured by using the proximity sensor, which is placed on the Induction Motor and parameters displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using dSPIC Microcontroller
This project describes the speed control of the BLDC motor with the dsPIC Controller, by using the Hall effect sensors of BLDC Motor. The dsPIC30F4011 controller generates the controlled switching pulses for the inverter. The speed control is done by changing the duty cycle of PWM from dsPIC30F4011. The motor speed is measured by using the proximity sensor placed on the BLDC Motor and displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Five Level Quasi Z Source Multilevel Inverter
This project is based on cascaded inverter and quasi z source techniques. This five-level inverter is cascaded of the two inverter circuits and also included a quasi z source circuit in front of the inverter circuit. A quasi z source circuit is used to boost the dc voltage and the dc voltage is applied to the inverter and obviously inverter output voltage range is increased.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Arduino Based Multilevel Inverter
This project is to design? and Analyse the performance of five levels of Cascaded H-Bridge multilevel inverter topology with Arduino. The PWM pulse will be generated by using Arduino and Embedded C. The output voltage is the sum of the voltage that is generated by each bridge. The switching angles can be chosen in such a way that the total harmonic distortion is minimized.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
DSP Based Multilevel Inverter
This project is designed to control the multilevel inverter using a TMS320F2812 DSP controller. This high-speed DSP processor is used to generate PWM signals, which is applied to driver circuits and this driver circuit is used to isolate and amplify the pulses. This project’s main objective is to reduce switching losses and harmonics using DSP Processor.
Project Type: Hardware Kit
Delivery: 4 – 5 Days
Support : Online Live Session
Deliverables : Project Kit, Report, and Presentation
NLP based Predicting Depression Symptoms in Arabic Psychological forum
Speed Control o?f Single Phase Induction Motor using Arduino?
This project is design to control the speed of a single-phase induction motor using Arduino. The single-phase inverter converts dc voltage into ac voltage. Single-phase induction motor speed depends on the frequency of the inverter.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of PMDC Motor using dsPIC Controller
This Project is design to control the speed of PMDC motor using dsPIC30F4011. The speed of the dc motor can be varied by changing the duty cycle of the PWM. The motor speed is monitored by using the proximity sensor placed in the motor and this can be done both in open loop and closed loop operations. In this concept, motor speed is controller manually in open and control automatically in closed loop with respect to the set speed.
Project Type : Hardware Kit
Delivery : 4 – 5 Days
Support : Online Live Session
Deliverables : Project Kit, Report and Presentation
Induction Motor Speed Control using?FPGA Kit
This project is design to control the speed of the induction motor using FPGA Processor. By comparing the sine and triangular wave, FPGA generates the controlled switching pulses for the inverter. The speed control is done by changing the frequency of reference sine from Spartan6. The motor speed is measured by using the proximity sensor placed on the Induction Motor and displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed control of Three Phase Induction Motor using SEPIC Converter
This project is used to control the speed of a three-phase induction motor using SEPIC converter. The sepic converter is used to boost the input voltage. The boosted dc voltage is applied to the three-phase inverter. This three-phase VSI operates at a 120-degree mode of operation. Three-phase induction motor speed depends on the frequency of the inverter.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
IOT Based Three Phase Induction Motor Speed Monitoring and Control
This project is proposed to control and monitor the speed of the three-phase induction motor by using the Arduino and node MCU controller. The Arduino is used to produce the PWM signals and the motor speed is controlled by using the driver and three-phase inverter circuits. We can monitor and control the speed using IoT Techniques.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control Hardware Design
This project is mainly used to control the speed of the BLDC motor by varying the frequency. The BLDC motor has high reliability, high-efficiency high torque/inertia ratio, improved cooling, low radio frequency interference, and noise and requires practically no maintenance. The BLDC motor speed depends on the frequency of the three-phase inverter circuit.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using ZETA Converter
This project is proposed to control the speed of the BLDC motor using zeta converter. DC voltage is applied to zeta converter, it boosts the input voltage and this voltage given to the three-phase inverter, which converts the dc voltage into three-phase ac voltage. The three-phase ac voltage is connected to the BLDC motor and with hall sensor, sensor output is feedback to the controller for closed loop operation.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using BOOST Converter
BLDC Motor Speed Control using SEPIC Converter
Fifteen Level Cascaded Multilevel Inverter
This project is based on a cascaded H bridge inverter and various topologies. Among these Cascaded multilevel inverters have drawn tremendous interest in the power industry because it requires fewer components. As the number of levels increases the harmonic content of the output voltage waveform decreases. This Cascaded H-Bridge fifteen-level inverter with a minimum number of switches. As the level increases the synthesized output waveform has more steps that produce a staircase wave that approaches desired waveform. The problem of switching losses and power losses can be eliminated with a minimum number of switches.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Fifteen Level Inverter With Reduced Number of Components
This project proposed a new multilevel inverter with a reduced number of switches and the switching losses are also get reduced with reduced total harmonics distortion (THD).
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of Three Phase Induction Motor using Arduino
This project is proposed to control the speed of the three-phase induction motor by using the Arduino. Motor speed is controlled by using the driver and three-phase inverter circuits. And also this project has reduced the harmonics and switching losses of the circuit. In this project have two switches are used to increment and decrement the speed of the Three Phase Induction Motor. The speed variation can be viewed in the tachometer.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Induction Motor Control using SEPIC Converter
Zeta Converter Using Arduino
Three phase Induction motor control using TMS320F2812 DSP Controller
BLDC Motor Control using Spartan 6 FPGA
Boost Converter Using Arduino
Full Range Soft Switching Buck Boost with PI
Conventional Buck Converter
Double Frequency Buck Converter
Single Phase Inverter Using Arduino
Quadratic Boost Converter
DC To DC Converter With Soft Switching Capability
A Single Switch High Step Up Converter
Closed Loop Control for A DC DC SEPIC Converter
Design and Analysis Of High Gain Modified SEPIC Converter
Dynamic Voltage Restorer
Interleaved High Step up Converter
Wireless Power Transmission With Single Phase Inverter
IoT-based Speed Monitoring using Proximity Sensor
Online Shopping Reviews Analysis using NLP
Peoples behavior analysis in Chat Message using NLP
Customer Satisfaction Analysis using NLP
Twitter Spam Detection using Natural Language Processing
Building a chatbot for healthcare using NLP
Money Laundering Detection using Artificial Intelligence
AI based Power Consumption Analysis for Electrical Appliances
Movie Review Analysis and Classification using AI
Twitter Data Classification using Sentimental Analysis
Building a Model for Dynamic Pricing Machanism using Sentimental Analysis
AI based Intelligent Traffic Light Control System using CNN
AI based Brain Tumour Detection using SWT based Image Fusion
AI Therapist Using Natural Language Processing
Spam Classification using Artificial Intelligence
Music Recommendation System using AI
Building a chat-bot with deep learning
Movie Recommendation System using AI
Automated Chat Bot for College Application using AI and ML
Bitcoin Price Prediction using Artificial Intelligence
Fake product Review Classification and Analysis using AI
AI Early Disease Prediction
Credit Card Fraud Detection using Artificial Intelligence
Stock Market Prediction using DNN
Election Result Prediction based on Twitter Data Analysis using AI
Low Power Monitoring and Control System using Raspberry Pi
Pipe Crawling Robot using Raspberry Pi
Counting Apples and Oranges using Raspberry pi and OpenCV
Web Control Robot using Raspberry Pi
Home Automation System using Bluetooth and Raspberry Pi
Fire Detection using OpenCV with Raspberry Pi
Industry Safety Management System using Raspberry Pi
Electronic Voting Machine using Raspberry Pi and OpenCV
IoT based Smart Shopping Cart using RFID and Raspberry Pi
Lip Movement Detection using Raspberry Pi
Online Examination System using Raspberry Pi
Motion Recognition using Raspberry Pi and OpenCV
Smart ATM Security System using Raspberry Pi and OpenCV
Face to Voice for visually impaired using Raspberry Pi
Smart Grid Transmission Line Monitoring System
Data Security System Using AES Algorithm
IOT based Child Tracking System using Node MCU
Google Assistant Voice Controlled Home Automation
IoT based Smart Door Locking System using Blynk App
IoT based Home Surveillance System using SMTP and Raspberry Pi
IoT based Wifi Control Robot using Node MCU
IoT based Indoor Navigation System using LoRa
IoT based Vertical Farming Watering System using Arduino
Contactless Temperature Monitoring and Mask Detection using IoT and Arduino
IOT based smart circuit breaker using arduino
Automatic Vehicle Speed Control System using IoT
Vehicle Collision Detection and Rescue Sysem using IoT and Arduino
IoT based Doorbell Security System using AWS and Raspberry Pi
IOT based anti-poaching system using Raspberry Pi
IoT based Anti Theft Detection System using Raspberry Pi
Data Security System Using AES Algorithm
ML Model to Improve Learning process and Reduce Droupout Rates
Message Classification in Facebook learning group using ML
The objective of the project is Message Classification in facebook learning group using Machine Learning to Data Analysis.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
ML based Opinion mining online Customer Reviews
Detection of distributed service attacks in SDN using ML
Data Poison Detection using Machine Learning
Detecting Phishing Attacks using NLP and Machine Learning
Prediction of Election Result based on Twitter Data
Ransomware Detection and Classification Using Machine Learning
Netflix Stock Market Prediction using Machine Learning
Estimation of Power Consumption for Electrical Appliances using ML
Agricultural Price Prediction using Machine Learning
Failure Prediction of Machineries using Machine Learning
Diet Recommendation system using ML
Math Learning for ADHD Personality using Machine Learning
Early Disease Perdition using Machine Learning
Prediction and Classification of COVID-19 Death and Recovered Cases using ML
OTP based cardlesss Transaction using Atm
Facial Emotion Recogntion using NLP
A systematic review on spam filtering techniques using NLP
New three-phase symmetrical multilevel voltage source inverter
Transformer less grid connected pv array
Aircraft power distribution system
Direct torque control of induction motor
Energy management system for hybrid power sources
Field oriented control of induction motor
HVDC power transmission
Power quality in distribution network(statcom)
OLTC phase shifting transformer controlled power network
Research on statcom for reactive power compensation
Sliding Mode Control Of Boost Converter
Static Synchronous Series Compensator
Unified Power Flow Controller
Electric Vehicle To Grid Energy Transmission
Dfig Based Wind Farm
Induction Generator Based Wind Energy Generation
Asynchronous Generator Based Wind Energy Generation
A Non Variable Dc Link Voltage Control Method For PMSM Driven By Quasi Z Source Inverter
Dual Active Bridge Based Fully ZVS HF Isolated Inverter
Dual Input Dual Output DC-DC Converter For Solar PV Battery Charging For EV
10KW Solar Powered Bidirectional EV Charger
Machine Learning Based Circuit Breaker
Charge Pumped Ultra Lift LUO Converter For Green Transportation
Solar Powered Bldc Motor Drive Using Boost Converter
Battery Cooling System For EV Applications
Dual Active Bridge Based Fully ZVS HF Isolated Inverter
Crime Detection and Classification using Fuzzy Logic Techniques
A 10kW Solar-Powered Bidirectional EV Charger Compatible with Chademo and COMBO
Dual input?dual output DC?DC converter for solar PV/battery/ultra-capacitor powered electric vehicle application
Renewable Energy Sources Integration and Control in Railway Microgrid
Switched-Capacitor Voltage Boost Converter for Electric and Hybrid Electric Vehicle Drives
Solar Optiverter ? A Novel Hybrid Approach to the Photovoltaic Module Level Power Electronics
A Novel Variable DC-Link Voltage Control Method for PMSM Driven by Quasi-Z-Source Inverter
A Modular Multiport Transformer With Integrated Split Battery Energy Storage for Versatile Ultrafast EV Charging Stations
A 13-LEVELS MODULE (K-TYPE) WITH TWO DC SOURCES FOR MULTILEVEL INVERTERS
A novel dual-input zvs dc/dc converter for low-power energy harvesting applications
A Novel Interleaved Non-Isolated Ultra High Step-Up DC-DC Converter with ZVS Performance
A Single-Switch High Step-Up DC-DC Converter Based on Coupled Inductor and Voltage Multiplier Cell for Renewable Energy Apps
AN EFFICIENT SINGLE-PHASE AC-TO-AC BUCK AND BOOST MATRIX CONVERTER
Coupled-Inductor L-Source Inverter
Modulation Method of a Full-Bridge Three-Level LLC Resonant Converter for Battery Charger of Electrical Vehicles
Flexible Mode Bridgeless Boost PFC Rectifier with High Efficiency over a Wide Range of Input Voltage
High Performance Dc-Dc Converter For Low Voltage Standalone Solar PV Systems
NLP based Chat-Bot for Medical Application
Object Picking Robot using Raspberry Pi
Three Phase Transmission Line Monitoring using IoT
VR Robot Using Raspberry Pi
Family Monitoring Robot Based using Raspberry Pi and OpenCV
High Performance Array Multiplier using Reversible Logic Structure
Design of Low Power Adder and Multiplier Using Reversible Logic Gates
Design of Low Power and High Speed Dynamic Latch Comparator using 180 nm Technology
Sign Language Recognition using Raspberry Pi and OpenCV
Forest Fire Detection using Drone
Gesture Controlled Robot using Raspberry Pi and OpenCV
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
DUAL SCR MODULE with Driver
Half Bridge MOSFET MODULE with Driver
6Leg TLP250 Driver Module for Inverter
6Leg Individual TLP250 Driver Module
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
4Leg Individual TLP250 Driver Module
2Leg Individual TLP250 Driver Module
8086 Development Board
SRM Power Converter module with Asymetric Bridge converter and Power Driver
Three Phase Inverter Module
Single Phase Inverter Module
Stair Case Climbing Robot
Led & Switch Interface Card
SLAM Robot using ROS with LIDAR
Agriculture Robot
4x4 Matrix Keypad Interface Card
Fire Fighting Robot using Open CV
Wheel Chair Control using BCI
Traffic Light Control Interface Card
8259 Interface Card
8255 Interface Card
ADC Interface Card
Stepper Motor & DC Motor Interface Card
Relay Buzzer Interface Card
8051 Trainer Kit
ARM7 LPC2148 Development Board
SINGLE PHASE FULL CONVERTER
SINGLE PHASE SEMI CONVERTER
SINGLE PHASE AC VOLTAGE CONTROLLER
SCR-TRIAC AC PHASE CONTROLLER
SINGLE ø TO SINGLE ø CYCLO CONVERTER
R,RC,UJT TRIGGERING CIRCUIT
PARALLEL INVERTER USING SCR
BASIC SERIES INVERTER
FORCED COMMUTATION METHODS (CLASS A,B,C,D,E)
VI CHARACTERISTIC OF SCR,MOSFET,IGBT
VI CHARACTERISTIC OF SCR,MOSFET,IGBT,TRIAC and DIAC
VI CHARACTERISTIC OF SCR
VI CHARACTERISTIC OF MOSFET
VI CHARACTERISTIC OF IGBT
VI CHARACTERISTIC OF TRIAC
DC CHOPPER USING SCR
SINGLE PHASE DUAL CONVERTER
IGBT BASED SINGLE PHASE INVERTER
DC MOTOR CONTROL USING IGBT CHOPPER
IGBT BASED THREE PHASE INVERTER
RESONANT DC-DC CONVERTER
SCR TRIGGERING CIRCUIT
Three Phase Full Converter
Three Phase Semi Converter
Three Phase AC Voltage Converter
Single Phase Cascaded Multilevel Inverter
Single Phase Rectifier Trainer Kit using TI Launchpad XL TMS320F28027F
This Single Phase rectifier trainer kit integrated with Texas Instrument’s DSP help the user to understand complete hardware design of single phase rectifier system on both simulation and hardware. SCR’S were triggered by DSP enabling students to learn how to use DSP for power electronics applications.
This kit has an Texas Instruments C2000 PICCOLO LaunchPad TMS320F28027 with inbuilt XDS100 Emulator and provides reliable and graphical programming development environment system for power electronics application.
Low cost DSP development platform for Power Electronics Application from Texas Instruments.
2 in stock
SMPS Study Trainer
Three Phase Cascaded Multilevel Inverter
THREE PHASE AC PHASE CONTROL MODULE for 3Phase Induction Motor Control
THREE PHASE FULL CONVERTER MODULE for PMDC Motor Control
THREE PHASE INVERTER MODULE for BLDC Motor Control
THREE PHASE INVERTER MODULE for 3Phase Induction Motor Control
STEPPER MOTOR CONTROL
CHOPPER FED IGBT POWER MODULE for PMDC Motor Control
SR-MOTOR(SRM) CONTROL POWER MODULE
VOLTAGE REGULATION OF 3Ph SYNCHRONOUS GENERATOR
TMS320F28335 DSP Development board
TMS320F2812 DSP Development Board
VOLTAGE & CURRENT SENSOR & SIGNAL CONDITIONING CIRCUIT FOR DSP/FPGA/MCU
ARDUINO UNO R3 (DIP)
Arduino UNO SMD (CH340)
TMS320F2812 DSP starter kit
ARDUINO NANO
ARDUINO MEGA2560(ATMEGA16U2)
ARDUINO PROMINI
ARDUINO LILYPAD
ARDUINO DUE
NODE MCU -ESP12 (CP2102)
MSP430 Development Board
NODE MCU -ESP32 -30 PIN
NODE MCU- ESP32 - 38 PIN
NODEMCU D1-MINI
ARDUINO PRO MICRO
PMSM Motor Control Trainer Kit
ARDUINO LEONARDO
ARDUINO UNO CABLE (USB A-B) SHORT
ARDUINO UNO CABLE (USB A-B) LONG
NANO CABLE (MINI B ) SHORT
MOSFET BASED STEPUP STEPDOWN CHOPPERS
NANO CABLE (MINI B ) LONG
NODEMCU CABLE (MICRO USB)
37 IN 1 SENSOR KIT
Arduino Learning Kit Basic
Arduino development board
Arduino Advance Kit
1.8 Inch Arduino TFT Display
2.4 Inch Arduino TFT Display
3.5 Inch Arduino TFT Display
PIC Development Board
1.3 OLED
2*16 LCD
2*16 JHD LCD
4*20 LCD
dSPIC Development board
?24,000.00?Exc Tax
dsPIC Development board is proposed to smooth the progress of developing and debugging of various designs encompassing Microcontrollers from Microchip. It?s designed as to facilitate (dsPIC30F 40PIN DIP) On-board Programmer for PIC Microcontroller through ISP on Universal Serial port. It integrates on board USART,LEDs, keypads, 3 ADC inputs and LCD Display to create a stand-alone versatile test platform. User can easily engage in development in this platform, or use it as reference to application development.
Shipping : 4 to 5 days from the date of purchase
Warranty : 3 Months
100 in stock
Arduino GSM Shield
Arduino Motor Shield
Arduino Sensor Shield
Arduino LCD Shield
8279 Keyboard and display Interface Card
Arduino Nano Shield
Arduino Ethernet Shield
Jumper Cable Femalt to Female
Jumper Cable Female to Male
LCD & GLCD Interface Car
Jumper Cable Male to Male
RASPBERRY PI4 -4GB
RASPBERRY PI4 -2GB
RASPBERRY PI4 -1GB
RASPBERRY PI3 - MODEL B+
RASPBERRY PI3 - MODEL B
RASPBERRY PI ZERO-W
RASPBERRY PI ZERO
Seven Segment Display Interface Card
PI4 ADAPTER 5V 3.1AMPS
RASPBERRY PI4 CASE
RASPBERRY PI3 CASE WITH FAN
RASPBERRY PI ZERO CASE
TLP 250 DRIVER BOARD
RASPBERRY PI3 T-COUPLER
RASPBERRY PI3 CAMERA
PI ZERO CAMERA
16GB CLASS 10 MEMORY CARD
8085 Lab Trainer Kit
32GB CLASS 10 MEMORY CARD
MICRO SD CARD ADAPTER
HDMI TO VGA CONVERTER
HDMI TO VGA WITH AUDIO
8086 LabTrainer Kit
MICRO HDMI TO HDMI CONVERTER
MINI HDMI TO HDMI CONVERTER
30CM 20X2 FRC CABLE
RASPBERRY PI 3.5 TOUCH
5INCH HDMI TOUCH
7 INCH HDMI TOUCH
RASPBERRY PI NIGHT VISION CAMERA
4 IN 1 IR SENSOR MODULE
Brain Controlled Home Automation using Raspberry Pi
EMG MODULE
ECG SENSOR
HEARTBEAT SENSOR (clip type)
DS18B20 PROBE
Brain Controlled Robotic Arm
LM35
LDR 5MM
LDR 8MM
LDR 12MM
Brain Controlled Wheel Chair using Brain Sensor
LDR20MM
HUMIDITY 2 PIN (HR202)
DHT11 MODULE
DHT22 MODULE
Brain Control Robot using Arduino
SOIL MOISTURE MODULE
SOIL PH METER
PH SENSOR MODULE WITH CONTROLLER
PH SENSOR TTL
REED SENSOR
LASER DIODE
SOLENOID LOCK
SPEED SENSOR
MERCURY SENSOR
MERCURY MODULE
PRESSURE SENSOR DPMPX10
TSOP 1738 SENSOR
TSOP 1738 MODULE
MOC7811
SOUND SENSOR MODULE
OV7670 CAMERA MODULE
V380 WIFI CAMERA
USB WEB CAMERA
FLEX SENSOR 2.2 INCH CHINA
FLEX SENSOR 2.2 INCH ORIGINAL
FLEX SENSOR 4 INCH ORIGINAL
FORCE SENSOR 2.2 INCH
FORCE SENSOR 1.2 INCH
HX-711 LOADCELL CONTROLLER
APDS9960 MODULE
SD CARD READER MODULE
MPU6050 MODULE
RPR220 IR PAIR SENSOR
VIBRATION SENSOR MODULE
HR202 MODULE
L14F1 FIRE SENSOR
BUMP SENSOR
JOY STICK
COLOUR SENSOR
VOLTAGE SENSOR
CURRENT SENSOR ACS712 -5A
CURRENT SENSOR ACS712 -30A
MQ2 SENSOR
MQ3 SENSOR
MQ4 SENSOR
MQ6 SENSOR
MQ7 SENSOR
MQ9 SENSOR
CT COIL 1005
CT SENSOR MODULE
WATER LEVEL SENSOR PCB
ADXL 335 Mems Sensor
ADXL 345 Mems Sensor
FLAME SENSOR
TURBIDITY WITH CONTROLLER
HC-SR04 ULTRASONIC
TOUCH SENSOR
PULSE SENSOR
ST LINK PROGRAMMER
MAGNETIC DOOR SENSOR SMALL
MAGNETIC DOOR SENSOR BIG
ROTARY ENCODER MODULE
BMP180 PRESSURE SENSOR
WATER FLOW SENSOR
METAL DETECTOR 5V
METAL DETECTOR 12V
IR LONG RANGE
RAIN SENSOR MODULE
IR SENSOR MODULE
PIR
HALL SENSOR
PIR 360DEGREE
WATER LEVEL SENSOR WHITE SMALL
WATER LEVEL SENSOR WHITE BIG
MQ2 MODULE
MQ3 MODULE
MQ4 MODULE
MQ6 MODULE
MQ7 MODULE
MQ9 MODULE
MQ135 MODULE
PIR Mini
Water Proof Ultrasonic Sensor
GSM SIM800L Serial
GSM SIM800L TTL
GSM SIM800A
GSM SIM800C
GPS NEO6M
RFID - EM18 TTL
RFID - EM18 SERIAL
RFID - RDM6300 (125KHZ)
RFID -RC522 (13.35MHZ)
FINGERPRINT R307
FINGERPRINT R305
ZIGBEE PAIR
HC-12 PAIR
RF 434MHZ PAIR
RF 315MHZ PAIR
CAN MODULE PAIR
LORA - RA02 PAIR
NRF24L01 PAIR
ZIGBEE MODULE PAIR (SERIES2)
POWER LINE COMMUNICATION (KQ330)PAIR
HC-05 BLUETOOTH MODULE
SMART CARD READER MODULE
USB2 SERIAL MODULE (CP2102)
USB2 TTL MODULE (CP2102)
USB2 TTL MODULE (PL2303)
FT232 CONVERTER
RS485 TO TTL
USB2 RS485 INDUSTRIAL
WIFI ESP8266-01
WIFI ESP8266-12E
MOSFET MODULE with Driver
WIFI ESP8266-12F
WIFI AND BLUETOOTH ESP8266-32
Serial Ethernet
Erasure Coding Scheduling Multiblock Updates
Face Mask Detection using CNN with OpenCV
User-Level Runtime Security Auditing for the Cloud
Dual Axis Solar Tracking System using Arduino
Brain Tumour Segmentation using SFCM & CNN | Matlab
Advanced Driver Assistance System - ADAS using Raspberry Pi and OpenCV
Health Monitoring system with AES using IoT and Raspberry Pi
Glaucoma Detection using CNN and Matlab
Leaf Disease Detection using CNN with OpenCV
People Counting in real time using OpenCV
Human Identification from Freestyle Walks using Posture Gait Feature
Food Recognition using Customized Model with OpenCV
PIC Development Board
Traffic Light Monitoring and Control using CNN with OpenCV
Age and Gender Estimation in realtime video processing using OpenCV
Four factor Authentication
Breast Cancer Detection using OpenCV with DL
Leaf Characteristics Detection using NN with OpenCV
Kidney Stone Detection using CNN
Covid 19 Detection using X Ray Image with unsupervised Learning
Human Nail Disease Detection and Classification using OpenCV
IoT based Water Quality Management System using Node MCU
IoT based Automatic Road Quality Logger Using MQTT and Node MCU
IoT based Smart Parking System using Node MCU
Vehicle Speed Estimation using deep learning with OpenCV
Smart band for Monitoring Health Service - Node MCU
Blind Image Blur Estimation Using Neural Network Algorithm - Matlab
Image Forgery Detection using Matlab
Skin Cancer Detection Using ABCD Rule
Brain Tumor Analysis Using Cuckoo Search Optimization - Matlab
Pedestrian Detection using Matlab
Fake Biometric Detection using DWT Technique with Secret Key Analysis -Matlab
Aircraft Recognition In Satellite Images using Matlab
Student Placement Prediction using Machine Learning
The main objective of this project is to analyse previous year?s student?s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions using Machine Learning Algorithms.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Text Summarization using NLP I Machine Learning
The objective of the project is to understand the concepts of natural language processing and create a tool for text summarization. The concern in automatic summarization is increasing broadly so the manual work is removed. The project concentrates on creating a tool that automatically summarizes the document.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Heart Disease Detection using Big Data using ML
In this project, we create a model to do the accurate prediction of heart disease problems in health care applications. Easier to analyse the scalable of health care big data. Less time consumption with the efficiency of data in heart disease. High performance in data maintained of heart disease prediction.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Employee Attrition using Machine Learning
The main objective of this project is to predict the employee attrition rate using Machine Learning Algorithms such as SVM and Naive Bayes algorithms. After the results obtained, the performance of the model is evaluated by calculating the accuracy score and showing it in the form of a confusion matrix.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Smart Farming using Machine Learning Algorithm
In this concept, we create Machine Learning Model for Smart Farming. Smart Farming Prediction and the recommendation can be made using Space Vector Modulation Classification and Neural Network Algorithm.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Alzheimer Disease Detection using Machine Learning | OpenCV
Fetal Brain Detection and Classification
Visual Cryptography Doing with QR Code Analysis
Bitcoin Price Prediction using Machine Learning
Churn Modelling Analysis using Deep Learning | Machine Learning Projects
Churn Analysis is one of the worldwide used analyses on Subscription Oriented Industries to analyse customer behaviours to predict the customers which are about to leave the service agreement from a company. The proposed model ?rst classi?es churn customers data using classi?cation algorithms, in which the Random Forest (RF) and Decision tree (DT) algorithm performed well with 90.44% correctly classi?ed instances.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Diabetes Prediction using Machine Learning
The idea of visualizing data by applying machine learning and pandas in python. Taking dataset from a medical background of different people (prime Indians dataset from UCI repository). This data set consists of information on the user’s age, sex type of symptoms related to diabetes. Design a testing and training set and predict are chances of patients having diabetes in the coming five years. Data is classified and shown in the form of different graphs.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Human Pose Estimation using OpenCV
Lung Cancer Detection using Deep Learning and OpenCV
Realtime Object Detection using OpenCV
Exam Hall Monitoring using OpenCV
Currency Detection using Similarity Indices Method using OpenCV
Hand Gesture Recogntion for Deaf and Dumb aid Communication
Gesture Recognition using CNN | Opencv and Python
Face Emotion Recognition using CNN | Opencv and Python
Medical Image Segmentation using Cuckoo Search Optimization I Matlab
Person Identification & Classification using LBP & Hog | Matlab
Wheel Chair Control Based on Eye Ball Cursor using Raspberry Pi and OpenCV
Diabetic Retinopathy Detection using Groud Truth Segmentation
Multi-Level Image Retrieval for Large Scale Images
DNA Fragmentation Pattern Recognition using Neural Networks
Palm Vein Pattern Recognition using Matlab
Liver Tumor Detection using Neural Networks and Matlab
Melanomand Benign Skin Lesion Classification using Back propagation Neural Network
Haze Removal using Matlab
Pancreatic Cancer Detection using Neural Network
ECG Signal Classification using CWT and NN
Brain Tumour Detection With Image Fusion
White Light Detection Based Adaptive Lighting using Raspberry Pi and OpenCV
Smart Blind Stick using Raspberry Pi
IoT based Blind People Navigation System using Node MCU
IoT based Bus Tracking System using Raspberry Pi
Smart Trolley Based on Colour Tracking using Raspberry Pi and OpenCV
Digital Door Lock With Mail Alert using Raspberry Pi and OpenCV
Drowsiness Detection using using Raspberry Pi and OpenCV
IoT based Waste Segregation System using Node MCU
Energy Meter using Arduino
Fire Fighting Robot using Raspberry Pi and OpenCV
Health Monitoring System using Arduino
Fire Detection using OpenCV with Raspberry Pi
Pick and Place Robot Raspberry Pi
Refrigerator Stock Monitoring using Raspberry Pi and OpenCV
Road Sign Recognition using Raspberry Pi and OpenCV
Vechile Distance Dection using Arduino
BCI Home Automation using Arduino
Drowsiness Detection using Brain Computer Interface
BCI Virtual Keyboard using Raspberry Pi
BCI based Password Validation using Matlab
Smart Helmet using Node MCU
Vehicle to Vehicle Communication system using IoT and Node MCU
Baby Monitoring System using IoT and Node MCU
Traffic Density Monitoring using OpenCV
Forest Fire Detection using LoRa
Gesture Controlled Home Automation using Raspberry Pi and OpenCV
VLC MediPlayer using Hand Gesture | Opencv
Number Plate Recognition using OpenCV
Secure File Sharing System using Data Mining
Secure Data Sharing for Dynamic Groups | Cloud Computing
Deduplication for Hybrid Cloud Security
Graphical Password Scheme using Information Security
Multifarious Data Prossessor In Network Security
Malware Detection in Android Application
Attendance Management System Based on Chatbot
IoT based Smart Shopping Cart using RFID and Raspberry Pi
SMS Application using AES Algorithum
Smart Bus Ticketing System using Qr Code | Android
Crime Pattern Recongization using Android
Lip Movement Detection using Raspberry Pi
Online Examination Portal
College Students Career Counselling Expert System
Online Crime Reporting System
Online Examination System using Raspberry Pi
E Library Management Sytem
Pharmercy Management System
Online Life Insurance Sytem
Railway Ticket Reservation System
Web Application for Institution
College Management System
KDD & Data Mining Approach for Finding Network Attacks using ML
The objective of the project to find the Network attacks using KDD Datas and Data Mining Approach.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Cyber Threat Analysis on Android Apps using Machine Learning
To prevent malware attacks, researchers and developers have proposed different security solutions, applying static analysis, dynamic analysis, and artificial intelligence. Indeed, data science has become a promising area in cybersecurity, since analytical models based on data allow for the discovery of insights that can help to predict malicious activities.?We can analyse cyber threats using two techniques, static analysis, and dynamic analysis, the most important thing is that these are the approaches to get the features that we are going to use in data science.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student Performance Prediction using Machine Learning
The proposed framework focuses on merging the demographic and study related attributes with the educational psychology fields, by adding the student’s psychological characteristics. After surveying, we picked the most relevant attributes based on their rationale and correlation with the academic performance.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Hashtag Clustering using NLP | Machine Learning
We apply the ML model on datasets like Twitter, Flickr, and YouTube. It will predict a similar type of hashtag with a detailed description. Unsupervised word embedding methods train with a reconstruction objective, in which the embedding is used to predict the original text.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Tkinter Chatbot Application using NLP
The idea of visualizing data by applying machine learning and pandas in python. Taking dataset from a medical background of different people (prime Indians dataset from UCI repository). This data set consists of information on the user’s age, sex type of symptoms related to diabetes. Design a testing and training set and predict are chances of patients having diabetes in the coming five years. Data is classified and shown in the form of different graphs.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Credit Card Detection using Optical Character Recognition
Fog Removal using Adversarial Networks with OpenCV
Face Pain Detection using OpenCV
Bicycle Accident Detection using Yolo Datasets
Handwritten Digit Image Classification using OpenCV
Flower Classification using DNN Transfer Learning
Handwritten Passwords for Touchscreen Biometrics using OpenCV
CCTV Footage Activities Monitoring using Deep CNN & Alex net
Digital Art using computer vision
Drowsiness Detection using OpenCV
Fire Detection using OpenCV
Third generation ATM using Fisher Face Recognition with OpenCV
Eyeball cursor virtual keyboard using OpenCV
U Shape Slotted ISM Band Antenna Design
Array Antenna for Wireless Communication
Slotted Microstrip MIMO Antenna for 5G Mobile Applications
Dual Band E Shape Slotted Antenna for Mobile Application
Multilayer Antenna Design using HFSS
Reconfigurable Antenna Design
Millimeter Wave Center Slot Antenna for 5G Applications
Wide Band Slotted Circular Ring Patch Antenna Design
Parasitic Patch Antenna Design using HFSS
Microstrip Patch Antenna Design for Wi-Fi Application
Multi Slotted Microstrip Patch Antenna for Multiple Wireless Applications
Dielectric Rectangular Resonator Antenna
Multi-Band MIMO Antenna Design for 4G and 5G Mobile Terminals
Fractal Antenna Design using HFSS
Milli meter Wave Doughnut Slot MIMO Antenna
Monopole Antenna for Indoor MIMO
Monopole Antenna for Quad Band
Multi Rectangular Slotted Hexa Band Micro Strip Patch Antenna
Switchable Frequency Slot Ring Antenna
Robust Design of Spectrum Sharing Network
Energy Efficient UAV Assisted Communication With Spectrum Optimization
Non Orthogonal Multiple Access Technique In 5G Communication System
Performance Evaluation for 5G NR Based MM Wave MIMO Systems
Encrypted Image Transmission Over OFDM System
Cooperative Spectrum Sensing In Communication System
Human Action Recognition using Neural Networks MATLAB
Chromosome Type Classification using Deep Learning | OpenCV
Speech Emotion Recognition using Deep Learning | Matlab
Logo Detection using Deep Learning OpenCV | Python
Food Calories Detection using Deep Learning OpenCV | Python
Digital Art using Computer Vision - OpenCV | Python
Social Distance Detection using OpenCV
Optical Character Recognition using Opencv | Python
Barcode and QR Code Recognition using OpenCV | Python
Arrythmia classification using Python
License Plate Recogntiont using Supervised Learning with OpenCV
Human Face Counting using OpenCV
Object Recognition using Kinect Sensor |OpenCV
Design and Analysis of Area and Power Efficient Approximate Booth Multipliers
Face to Voice for visually impaired using Raspberry Pi
Home Automation System Through E-Mail using Raspberry Pi
Toll Management System using Raspberry Pi and OpenCV
Autonomous Boat for Fisherman Border Security using Raspberry Pi
28-nm CMOS for High-Density Interconnects
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Handwritten Digit Classification Using Deep Neural Network In Matlab
Accurate Shadow Detection and Removal from High-Resolution Satellite Images
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Sleep Apnea Monitoring System using IoT and Arduino
Automatic Ambulance Rescue System Using Arduino
Smart ATM Security using Raspberry Pi and OpenCV
IoT based Baggage Tracking System using RFId and Node CMU
Intelligent Coal Mine Monitoring System based on the lora-cloud
Digital Art - Drawing In The Air Through Camera
A Low Power 1V Supply Dynamic Comparator
2-Bit flash analog to digital converter using CMOS logic
Analysis of Secure Hash Algorithm (SHA) 512 for Encryption
FPGA Based Robotic ARM Controller using Spartan 3AN
Gesture based Home Automation system using Spartan 6
LOW POWER COMPARATOR DESIGN USING REVERSIBLE LOGIC GATES
DUAL EDGE-TRIGGERED D-TYPE FLIP-FLOP WITH LOW POWER CONSUMPTION
Adder design using Low Power Digital design Techniques
Detection Oil Spill In Satellite Based Synthetic Aperture Radar (SAR) Images By Neural Network
Rainfall Prediction using Machine Learning
The objective is to create a ML Model by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Credit Card Fraud Detection using Deep learning
In this Project, we are building a Machine Learning Model to detect the Credit Card Fraud using Random Forest Algorithm. Random Forest is an algorithm for classification and regression. Summarily, it is a collection of decision tree classifiers. The random forest has an advantage over the decision tree as it corrects the habit of overfitting to their training set. A subset of the training set is sampled randomly so that to train each individual tree and then a decision tree is built, each node then splits on a feature selected from a random subset of the full feature set.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Fake News Detection using Machine Learning
The main objective is to detect fake news, which is a classic text classification problem with a straightforward proposition. It is needed to build a model that can differentiate between Real news and Fake news using Machine Learning Algorithm.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
Fake Profile Identification using Machine learning
This project is about to create a framework, by this we can detect a fake profiles using ML algorithms, makes people social life more secure. The model presented in this project demonstrates that Support Vector Machine (SVM) is an elegant and robust method for binary classification in a large dataset. Regardless of the non-linearity of the decision boundary, SVM is able to classify between fake and genuine profiles with a reasonable degree of accuracy (>90%)
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Stock Market Prediction using Machine Learning
The objective of this project is to review totally different techniques to predict stock worth movement victimization the sentiment analysis from social media, data processing. During this process, we are going to realize economic technique which may predict stock movement additional accurately. Social media offers a robust outlet for people’s thoughts and feelings it’s a fast-ever-growing supply of texts starting from everyday observations to concerning discussions
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student Performance Analysis using Machine Learning
Performance analysis of outcomes based on learning is a system that will strive for excellence at different levels and diverse dimensions in the field of students’ interests.? The proposed framework analyse the students demographic data, study-related and psychological characteristics to extract all possible knowledge from students, teachers, and parents. Seeking the highest possible accuracy in academic performance prediction using a set of powerful data mining techniques.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Student feedback classification using Random Forest with ML
This project is about to create a framework, by this we can detect a fake profiles using ML algorithms, makes people social life more secure. The model presented in this project demonstrates that Support Vector Machine (SVM) is an elegant and robust method for binary classification in a large dataset. Regardless of the non-linearity of the decision boundary, SVM is able to classify between fake and genuine profiles with a reasonable degree of accuracy (>90%)
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Liver Disease Prediction using Machine Learning
The objective of this project to create a ML Model to predict the liver disease from the huge liver disease datasets using the algorithms. Time complexity and accuracy can measured by various machine learning models ,so that we can measures different. Risky factors can be predicted early by machine learning models.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Loan Approval Prediction using Machine Learning
The primary goal of this project is to extract patterns from a common loan-approved dataset, and then build a model based on these extracted patterns, in order to predict the likely loan defaulters by using classification data mining algorithms. The historical data of the customers like their age, income, loan amount, employment length etc. will be used in order to do the analysis.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Hate speech Detection using Machine learning
This aims to classify textual content into non-hate or hate speech, in which case the method may also identify the targeting characteristics (i.e., types of hate, such as race, and religion) in the hate speech. To Analysis of the language in the typical datasets to get hate speech by features in the ?long tail? in a dataset using Machine Learning.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Ground Water level Prediction using Machine Learning
Models for the prediction of water table depth were developed based on Artificial Neural Networks (ANN) with different combinations of hydrological parameters. The best combination was confirmed with factor analysis. The input parameters for groundwater level forecasting were derived using Time Series Analysis (TSA).
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Road accident Analysis and classification using Machine Learning
Models are created using accident data records which can help to understand the characteristics of many features like driver’s behaviour, over speed, mobile usage, sleeping conditions. This can help the users to compute the safety measures which is useful to avoid accidents. It can be illustrated how statistical method based on directed graphs, by comparing two scenarios based on out-of-sample forecasts. The model is performed to identify statistically significant factors which can be able to predict the probabilities of crashes and injury that can be used to perform a risk factor and reduce it.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Human activity Recognition using Machine Learning
Building a ML Model to recognize the Human Activity using Machine Learning Algorithms. A Bayesian network has been applied for activity prediction based on individual and multiple appliance usage.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Crime Analysis using Machine Learning
The objective of this project is build a ML model to analyse the Crime using K Means. Analysing and examining crimes happening in the world will give us a Broadview in understanding the crime regions.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Intrusion Detection using Machine Learning
The objective of the project is to build a Intrusion Detection Model using Machine Learning. An intrusion detection system (IDS) is a system that monitors and analyses data to detect any intrusion in the system or network.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
Hotel review rating classification using NLP
Election Results prediction based on Twitter data
Arabic Natural Language Processing
Image Enhancment In Foggy Images
Breast Cancer Detection Using Deep learning
License Plate Recognition using Deep learning
Kidney Stone Detection Using Matlab
Hand Written Recogniton Using Matlab
Lung Cancer detection Using Matlab
Leaf Disease Detection using Neural Networks
Sign Language Detection Using matlab
Content Based Image Retrieval
Hyper Spectral Multi Spectral Images Fusion Using Matlab
Blood Cell Classification In MicroScopic Images
Retinal Blood Vessel Segmentation Using Deep Learning
Fruit Quality Analysis Using Clustering Method
Cloth Pattern Recogntion Using matlab
Image Mosaic Using SIFT Features
Unfocused Rain Drops Detection Using Matlab
Text Based Image Retrieval Using Matlab
Face Emotion Recognition Using Support Vector Machine
Speech Emotion Recognition Using Matlab
Food Calory Deteciton Using Matlab
Banana Ripe detection Using Neural Networks
Matlab Code For Image Compression
Skin Cancer Deteciton Using ABCD Rule
SKIN CANCER DETECTION USING ABCD RULE
Abstract:
Human Cancer is one of the most dangerous diseases which is mainly caused by genetic instability of multiple molecular alterations. Among many forms of human cancer, skin cancer is the most common one. To identify skin cancer at an early stage we will study and analyze them through various techniques named as segmentation and feature extraction. Here, we focus malignant melanoma skin cancer, (due to the high concentration of Melanoma- Hier we offer our skin, in the dermis layer of the skin) detection. In this, we used our ABCD rule dermoscopy technology for malignant melanoma skin cancer detection. In this system different step for melanoma skin lesion characterization i.e, first the Image Acquisition Technique, pre-processing, segmentation, define feature for skin Feature Selection determines lesion characterization, classification methods. In the Feature extraction by digital image processing method includes, symmetry detection, Border Detection, color, and diameter detection and also we used LBP for extract the texture based features. Here we proposed the Back Propagation Neural Network to classify the benign or malignant stage.
Introduction
Skin cancers are cancers that arise from the skin. They are due to the development of abnormal cells that have the ability to invade or spread to other parts of the body.
There are three main types of skin cancers: basal-cell skin cancer (BCC), squamous cell skin cancer (SCC) and melanoma. The first two, along with a number of less common skin cancers, are known as non melanoma skin cancer (NMSC).
Basal-cell cancer grows slowly and can damage the tissue around it but is unlikely to spread to distant areas or result in death. It often appears as a painless raised area of skin that may be shiny with small blood vessel running over it or may present as a raised area with an ulcer.
Squamous-cell skin cancer is more likely to spread. It usually presents as a hard lump with a scaly top but may also form an ulcer. Melanomas are the most aggressive.
Signs include a mole that has changed in size, shape, color, has irregular edges, has more than one color, is itchy or bleeds.. A skin that has inadequate melanin is exposed to the risk of sunburn as well as harmful ultraviolet rays from the sun .Clinical analysis and biopsy tests are commonly used.
Existing Systems
Draw backs of Existing method
Proposed Method
Advantages
Block Diagram
Block Diagram Explanation
Colour Space Conversion
Color space conversion is happens when a Color Management Module (CMM) translates color from one device’s space to another. Conversion may require approximations in order to preserve the image’s most important color qualities.
The use of color in image processing is prompted with the useful resource of number one factors. First, shade is a powerful descriptor that frequently simplifies object identity and extraction from a scene. Second, human beings can determine plenty of shade solar shades and intensities, in comparison to approximately only two dozen sun sunglasses of gray. This 2d aspect is especially important in manual photo assessment
GLCM feature extraction
In statistical texture analysis, texture features are computed from the statistical distribution of observed combinations of intensities at specified positions relative to each other in the image. According to the number of intensity points (pixels) in each combination, statistics are classified into first-order, second order and higher-order statistics.
The Gray Level Co ocurrence Matrix (GLCM) method is a way of extracting second order statistical texture features. The approach has been used in a number of applications, Third and higher order textures consider the relationships among three or more pixels.
ABCD Parameters
The ABCDE Rule of skin cancer is an easy-to-remember system for determining whether a mole or growth may be cancerous. They describe the physical condition and/or progression of any skin abnormality that would suggest the development of a malignancy.
BPN Training and Classification
As is clear from the diagram, the working of BPN is in two phases. One phase sends the signal from the input layer to the output layer, and the other phase back propagates the error from the output layer to the input layer. For training, BPN will use binary sigmoid activation function Back-propagation is the essence of neural net training. It is the method of fine-tuning the weights of a neural net based on the error rate obtained in the previous epoch (i.e., iteration). Proper tuning of the weights allows you to reduce error rates and to make the model reliable by increasing its generalization
Requirement Specifications
Hardware Requirements
SOFTWARE REQUIREMENTS:
REFERENCES
[1]Adheena Santy and Adheena Santy,Segmentation Methods For Computer Aided Melanoma Detection,IEEE Conference,2015.
[2] Omar Abuzaghleh, Miad Faezipour and Buket D.Barkana ,A Comparison of Feature Sets for an utomated Skin Lesion Analysis System for Melanoma Early Detection and Prevention,IEEE journal,2015.
[3] M. Rademaker and A. Oakley,Digital monitoring by whole body photography and sequential digital dermoscopy detects thinner melanomas,IEEE journal,2010.
[4] Xiaojing Yuan, Zhenyu Yang, George Zouridakis, and Nizar Mullani >
[5] Abder-Rahman Ali, Micael S. Couceiro, and Aboul Ella Hassenian ,Melanoma Detection Using Fuzzy CMeans Clustering Coupled With Mathematical Morphology,IEEE Conference,2014
Human Action recognition Using Neural Network
Classification And Segmenation Of Leukocytes Using Matlab
Fake Currency Detection Using Neural Networks
Rice Grain Quality Detection
Air Craft Identification Using Matlab
Matlab Code For Iris Recognition
Back Ground Subtraction Using Matlab
Content Image Detail Enhancement on Wavelet Analysis
Multi Focus Image Fusion Based On Spatial Frequency
Robust Palm Vien Pattern Recognition
Reversible Data Hiding With Contrast Enhancement
Image Quality Assesment Using Fake Biometric Detection
Image De-noising and Segmentation based on Discrete Wavelet Transform
Blind Image Blurr Estimation using Deep Learning
DWT Based Image Segementation of Defocus Blur
Brain Tumor Segmentation Using Convolution Neural Network
Brain Tumor Segmentation Using Priobabilty Neural Network
Video Watermarking Using DWT
Revesable Data Hiding:Steganography
SAR Image Fusion
Digital Image Invisible Watermarking
Age Estimation Using Neural Networks Algorithm
Age Progression Using Color And Shape Blending System
Helmet detection using OpenCV with Machine Learning Model
Solar Powered BLDC Motor Drive using Luo Converter
13 Level K Type MultiLevel Inverter With DC Source using Matlab
Solar Pv Water Pumping Solution using Three-Level Cascaded Inverter Connected Induction Motor Drive
An Efficient Single-Phase AC to AC Buck and Boost Matrix Converter
Quasi Cascaded H-Bridge Five-Level Boost Inverter - Matlab
Novel Bidirectional T Type MultiLevel Inverter for Electric Vehicle Applications
A solar PV water pumping solution using a three-level cascaded inverter connected induction motor drive
Novel Dual Input ZVS DC/DC Converter for Low Power Energy Harvesting Applications
Power Factor Improvement In Modified Bridge less Landsman Converter Fed EV Battery Charger
Single Stage Transformerless Inverter for Photovoltaic Applications using Matlab
Sliding Mode Control of Single Phase Grid Connected Quasi Z Source Inverter
Design and Analysis of High Gain Modified Sepic Converter for Photovoltaic Applications
Robust Slidingmode Control Design for Voltage Regulated Quadratic Boost Converter
Speed Control of Single Phase Induction Motor using AC Chopper | APWM
Commutation Torque Ripple Reduction In BlDC Motor using Modified Sepic Converter and Three Three-Level NPC Inverter
Fuzzy Controlled Wind Generation System
Commutation Torque Ripple Reduction In BlDC Motor using Modified Sepic Converter
Grid InterACtive Permanent Magnet Synchronous Motor Driven Solar Water Pumping System
Interleaved Boost Converter With Voltage Multiplier for Pv Module using Grid Connected Load In Rural Areas
Novel Interleaved Non Isolated DC to DC Converter With ZVS Performance
Coupled Inductor L Source Inverter Design using Matlab Simulink
Three-Level LLC Resonant Converter Design for EV Battery Charger
Reconfigurable Bidirectional Wireless Power Transceiver for Battery Charging
Hybrid Structure of Static Var Compensator and Hybrid ACtive Power Filter (SVC/HAPF)
Bridgeless Boost PFC Rectifier Design using Matlab Simulink
Regenerative Breaking System
DC to DC Converter for Renewable Energy
An Improved Interleaved High Power Fly Back Inverter for Photovoltaic Application
Design and Analysis of a Micro Inverter for PV Plants
A Highly Efficient and Reliable Inverter Configuration Based Cascaded Multilevel Inverter for PV Systems
Control of Improved Full-Bridge Three-Level DC/DC Converter for Wind Turbines in a DC Grid
Power Quality Improvement by using Shunt Hybrid Active Power Filter
Design of HERIC Configuration Based Grid Connected Single Phase Transformer less Photo voltaic Inverter
Design and Simulation of Interleaved SEPIC Converter for Photo Voltaic Applications
Design of Ultra-capacitor based DVR for Power Quality Improvement
Brushless DC Motor Drive Control using Single Input Fuzzy PI Controller (SIFPIC)
Replacing the Grid Interface Transformer in Wind Energy Conversion System With Solid-State Transformer
High Performance Dc-Dc Converter For Low Voltage Standalone Solar PV Systems
Enhancement of Solar Farm Connectivity with Smart PV Inverter PV-STATCOM
Power Factor Improvement and Dynamic Performance of an Induction Machine With a Novel Concept of a Converter-Fed Rotor
Comparison on Luo and Ultra Luo converter for Power Factor Correction in BLDC Motor Drive
A Multilevel Inverter Topology with Reduced Number of Switches
Grid Interactive Solar PV Based Water Pumping Using BLDC Motor Drive
Three Phase Single Stage Isolated Cuk based PFC Converter
Isolated SEPIC Converter fed Trinary Hybrid Cascaded H-bridge Multilevel Inverter for Solar PV System
Performance of Grid-Connected PV System Based on SAPF for Power Quality Improvement
Multi-level inverter capable of power factor control with dc link switches
analysis, design and implementation of a bidirectional double-boost dc-dc converter
Analysis of photo voltaic system fed interleaved boost converter
RoBA Multiplier with MAC Unit
A high speed design of 16 bit Vedic Multiplier
Hardware Design of an Energy-Efficient High Throughput Median Filter
Design of Efficient 16 bit Han-Carlson-Adder
VLSI architecture for AES Decryption algorithm
Approximate 4-2 Compressors for Low-Power Approximate Multipliers
Low power Wallace Tree Multiplier using Modified Full Adder
High-Speed and Area-Efficient Three-Operand Binary Adder
Modular Adder Designs Based on Thermometer and One-Hot Coding
High-speed VLSI architectures for the AES algorithm
VLSI Implementation of a Fast Kogge-Stone Parallel-Prefix Adder
Design and Characterization of Parallel Prefix Adders using FPGAs
Implementation of RSA algorithm
Design of a Dual Port RAM using Verilog
Hybrid-Logic Full Adder Using 10-T xor-xnor Cell
Dual edge - D-type Flip flop
Design And Analysis Of Low-Power Full Adder Using Novel 10-T Xor-X Nor Cell
LOW POWER DESIGN AND SIMULATION OF 9T-SRAM CELL USING VARIOUS CIRCUIT
Design and Implementation of CPU Processor
DESIGN AND IMPLEMENTATION OF RoBA MULTIPLIER ON MAC UNIT
Design of BCD to Seven segment display with Verilog
Design of synchronous First in First out
Design and Simulation of UART Serial Communication Module Based on Verilog.
Design of Low Power And High Speed Configurable Booth Multiplier
Design of a High ? Speed 8-Bit Binary Comparator in CMOS
Design of area efficient binary to gray code converter using mentor graphics
Implementation of LFSR by Using Gray Code Converter
Clock gating aware low power ALU design and implementation on FPGA
Design of Low Power RISC Processor by Applying Clock gating Technique
Design of A six transistors full adder
Design and implementation of Convolution Encoder
Design of High-Performance 10-T xor-xnor Cell
Design of single port SRAM memory with Verilog
Design of Low Power 4 bit array Multiplier Using Reversible Logic Gate
Design of Low Power High Speed Fully Dynamic CMOS Latched Comparator
High Performance Wallace Multiplier using Modified Full Adder in Reversible Logic Structure
A Novel high speed dynamic comparator with low power dissipation
Design of 4:2 Compressor based Approximate Booth multiplier
Design of Linear Feedback Shift Register for Test Pattern Generator
Design of Optimized proposed 9T SRAM Cell
Design and Implementation of 4-2 Compressor design with new Xor-Xnor
Low power High Speed Adversarial Attack based 4:2 compressor as Full Adder for Multipliers
Majority logic based approximate adders and multipliers for error tolerant applications
4 bit Array Multiplier with Attacked 4:2 compressor(Full Adder)
Implementation of Reed-Solomon Encoder for Wireless Network 802.16
32-bit ALU Design using Vedic Mathematics
Low-Power and Fast Full Adder by Exploring New XOR and XNOR Gates
A Fully Static Topologically-Compressed 21-TransistorFlip-Flop
Design and implementation of Median Architecture for Image Filtering Applications
Vehicle To Vehicle Communicaiton using Raspberry Pi and LiFi
Vehicle To Vehicle Communication using lifi Arduino
Baby Monitoring System using Raspberry Pi and Open CV
Baby Monitoring System using Node MCU
Traffic Density Monitoring using Raspberry Pi and OpenCV
Traffic Density Monitoring using Opencv
Gesture Controlled Home Automation
LiFi indoor navigation using Arduino
LoRa based Renewable Energy Monitoring System with Open IoT
Lora based Renewable Energy Monitoring System using Arduino
Lora - based sewage monitoring
LoRa based sewage monitoring using Raspberry pi
Automated Urban Drinking Water Supply Control using Raspberry pi
Automated Urban Drinking Water Supply Control and Water Theft using Node MCU
Braille-Based Mobile Communication using Raspberry pi
RFID and GPS based bus transit using Raspberry pi
Smart e mirror using Raspberry pi
Embedded based Personal Assistant System
Hand Gesture Recognition to Audio Conversion using Raspberry pi and Open CV
Hand Gesture Recognition to Audio Conversion using flex sensor and Raspberry pi
Hand Gesture Recognition to Audio Conversion using flex sensor
Interconnecting Industrial Devices based on Power Line communication
IV Drip Saline Fluid Monitoring System Using Raspberry Pi
Drip Saline Fluid Monitoring System using IoT and Node MCU
Lora-based Monitoring System for Agriculture with Predictive
LoRa based Monitoring System for Agriculture with Predictive Using Raspberry Pi
Lora Enabled Sustainable Messaging System For Isolated Communities
Green House Monitoring Robot
LiFi Integrated to Power-lines for Smart Illumination cum Communication
LoRa based Renewable Energy Monitoring System Using Raspberry Pi
Lora based Renewable Energy Monitoring System with Open IoT
LoRa based Wireless Sensors for Smart Environment Using Raspberry Pi
LoRa based Wireless Sensors for Smart Environment and IoT Applications
Lora-Based Visual Monitoring For Horticultural using Raspberry pi
Smart Traffic Systems using Lifi Technology for Automobiles using Node MCU
Automatic Vehicle Detection for Billing Based on Vehicle in Toll Using Load Cell
Number Plate Recognition using Raspberry Pi
Raspberry Pi based Autonomous Boat for Fisherman
E Speak Based Flood Intimation using SMTP and Raspberry Pi
IOT based Green House Monitoring and Controlling Using Arduino
Green House Monitoring and Controlling Using WSN and Node MCU
Night Vision Patrolling Robot using Raspberry Pi and OpenCV
Wireless Black Box Using Rasberry Pi
A Can Bus Based Monitoring And Fault Diagnosis In Wind Turbine
Smart Electronic Voting System Based On Biometric Identification using Raspberry Pi
Smart Kitchen Using Raspberry Pi
Smart Kitchen Using Arduino
Soldier Position Tracking and Health Monitoring System using Node MCU
Soldier Position Tracking and Health Monitoring System
IoT based Smart Street Lights System using Node MCU
Person Tracker For Institutions Based Smart Notice Board
Variable Vehicle speed limmiter for Accident Avoidance using RF and Node MCU
variable vehicle speed limmiter for accident avoidance using Raspberr pi
Secure Vehicle With Driver Assistant System using Raspberry Pi and OpenCV
virtual telepresence robot for mining
Waste Segregation Conveyor using Raspberry Pi
waste segregation using conveyor using Arduino
Wild Life Safety and Monitoring System using Opencv and Raspberry pi
E Attendance system using Raspberry Pi
Health Care Monitoring using Raspberry Pi
Health Care Monitoring using IoT with Pulse Oximeter
Node To Node Communication Based Vehicle Grid For Smart Transportation Using MQTT
IoT Enabled Smart Energy meter for power theft detection using Node MCU
Smart Energy Meter using IoT and Raspberry Pi
Smart Surveillance System using IoT and Raspberry Pi
IoT Integrated Virtual Examination Using Raspberry Pi and Open CV
IoT based Smart Umbrella system using Raspberry Pi
Forest Fire Detection and Prediction using IoT and Node MCU
IoT based Smart City Management using Raspberry Pi
IoT surveillance using Raspberry Pi drone using Deep learning
Voice Control Device using Natural Language Processing and Raspberry Pi
Face recognition and tracking for examination monitoring (digital invigilator) using Raspberry Pi
Real-time Multiple Face detection using Raspberry Pi with Intel Movidius Stick 2
Autonomous Self Balancing Robot using LIDAR and ROS
A Sensor Glove for the Interaction with a Nursing-Care Assistive Robot
Turtle Bot using Lidar with ROS
Book Reader using Raspberry Pi and Open CV
Touch Screen Controlled Multipurpose Spy Robot Using Bluetooth
IoT based Lightweight Payment Verification Protocol for Block chain -Node MCU
IoT based Lightweight Payment Verification Protocol for Block chain RPI
Face Mask Detection using IoT and Raspberry Pi
IOT based Electrical Device Surveillance and Control System
IOT based Electrical Device Surveillance and Control System using Raspberry Pi
Card less Transaction using Biometric Identification using Raspberry Pi
Card less transaction using biometric identification using Node MCU
Remote Home Security System based on WSN using Node MCU
Pi Home Security system based on WSN using Raspberry Pi
Industrial monitoring and control using Node MCU
Industrial Monitoring and Control using Raspberry Pi
Image transmision using LiFi using Node MCU
Image Transmision using LiFi using Raspberry Pi
Audio transmission using Li-Fi using Raspberry Pi
audio transmision using LiFi using Node MCU
Children Health and Safety System using Children using Raspberry Pi
Innovative complete solution for health safety of children unintentionally forgotten in a car
Natural Disaster Detection using IoT and LoRa
personilised notification for disaster using Node NCU
Control and Monitoring of IoT Devices Using Mixed Reality in Unity Engine using Arduino
Control and Monitoring of IoT Devices Using Mixed Reality in Unity Engine using Raspberry Pi
Rice Blast Detection using Node MCU
Rice Blast Detection using Raspberry Pi
Agriculture weeding robot with gesture control
Automatic Bridging Robot
Foot Ulceration detection and monitoring
Foot Ulceration Detection and monitoring using Raspberry Pi
Automatic Medicine Vending Machine with Medicine Recommendation
High Speed Railway Communication Using Moving Relays
Generalized Frequency Division Multiplexing Modulation Techniques In 5G Communication
Frequency Offset Estimation For 5G Based On Doppler And Kalman Filter In Satellite Communications System
Broadcasting And Multicasting Transmission In 5G New Radio
Low-Density Parity-Check And 256 Qam Of New Radio (Nr) Technology Based Data Detection Scheme? For 5G Communication System
Performance Evaluation For 5G Nr Based Mm-Wave Mimo Systems Under Urban Micro Cell
Non-Orthogonal Multiple Access (Noma) Technique In 5G Communication System And Comparison With Ofdm
Design And Analysis Of An OFDM-Based Orthogonal Chaotic Vector Shift Keying Communication System
Encrypted Image Transmission Over Ofdm System
Performance Evaluation Of Non-Uniform Modulation Of Ofdm Subcarrier In The Underwater Acoustic Environment
Channel Allocation Scheme Based On Greedy Algorithm In Cognitive Vehicular Network
Spectrum Allocation And Power Control In Full Duplex Dense Heterogeneous Network
Energy Efficient Uav Assisted Communication With Spectrum Optimization
Multiagent Autonomous Learning For Distributed Channel Allocation In Wireless Network
Reduction Of Paper Using Multi-Carrier Filtering Techniques In 5G Communication System
Dynamic Spectrum Allocation For Heterogeneous Cognitive Radio Networks With Multiple Channels
Transmission Of Encrypted Image Over Ofdm
Spectrum-Efficient Distributed Compressed Sensing Based Channel Estimation For Ofdm Systems Over Doubly Selective Channels
Spectrum Resource Allocation Algorithm Based On Joint Access Mechanism
An Improved Interleaved High Power Flyback Inverter for Photovoltaic Application
A High Power Density Converter with a Continuous Input Current Waveform for Satellite Power Applications
Solar Powered BLDC Motor Drive using LUO Converter
Face Detection Drone
Solar Tracking Robot
Chain Wheel Robot
Pick and Place Robot - 6 Axis
Pipe Line Robot
Aquabot
Lane and Curve Detection using Deep Learning
Lung Nodule Detection in X ray Images using Image Processing
Semantic Segmentation using Deep Learning
Matlab Code for Land Change Detection
Matlab Code for Hand Tracking
Fault Classification using deep Learning
Liver tissue segmentation in microscopic images using fusion color space and multiscale morphological reconstruction
Image Forgery Detection based on Expectation Maximization Algorithm
Real time color classification of objects from video streams
Fabric Fault Detection Using Image Processing
Matlab Code for Retinal image enhancement
Comparison of Detection Method on Malaria Cell Images
Thumbprint Image Enhancement and Minutiae Extraction
Intelligent brain hemorrhage diagnosis using deep learning
Natural Scene Classification using Image processing
Matlab Code for pests and disease identification in fruits
PCB fault detection using Image Processing
Matlab Code for Soil Classification
Blood Group Detection based on Image processing
Hand Landmark Detector using Matlab
Depth Estimation using Stereo Camera and OpenCV
Eyeglasses detection on face images using Image Processing
Dictionary Based Image Segmentation
Fuzzy c-means Segmentation using Image Processing
Character Recognition using Backpropagation Neural Network
Active Contour Segmentation using Image processing
Detecting Diseases in Gastrointestinal Biopsy Images using deep learning
Image denoising using discrete wavelet transform
Face verification using Alexnet and Deep Learning
Dental Caries Detection System using Image processing
Deep Learning based Fire detection using yolo
Matlab code for DWT based Watermarking
Matlab code for DCT based Watermarking
Matlab Code for Image Targeting
Welding defect detection based on local image enhancement
Matlab Code for Medical Image Segmentation
Matlab Code for Steganography using DWT
Matlab Code for Steganography using DCT
Smart Voting System Using Face and Finger Print Recognition
Pattern matching in a digitized image
Vision-Based Mobile Robot Navigation Using Image Processing
Real-time Distracted Driver Posture Classification using Matlab
Real time vehicle classification using deep learning Matlab
Multi modal bio-metric system using Face ,Finger and Cryptography for ATM Machines
Pneumonia detection in XRay Images using Deep learning
Palmprint recognition using Deep Learning
COVID-19 Detection in Xray Images using Matlab
Yolo Object detection using Matlab
Automatic Eye Cataract Detection Algorithm Using MATLAB
Visual Cryptography using Matlab
3-D video based brain tumor detection
Cardiac Image Classification using Matlab
Disparity mapping using Matlab
Matlab Code for Thyroid detection using thermal images
Food ingredients detection system using Matlab
Coral plants classification using Matlab
Cervical Cancer Classification using Matlab
Fruit Detection System Using Deep learning
Tamil character recognition using Deep learning
Distance measurement using Image processing
Intelligent Baby Monitoring System using Image Processing
Multimodal Biometric Recognition system
Matlab Code for Finger print recognition
Matlab Code for Image Encryption
Matlab Code for Vein Detection System
Matlab Code for Head Pose Recognition
Matlab Code for Segmentation based on Skin Colour
Real Time Bar Code Recognition using Matlab
Matlab Code for Shape Recognition using Correlation
Matlab Code for Coin Recognition using Image Processing
Flowers classification using Transfer Learning
Corner Detection using Image Processing
Gender Recognition using Image Processing
Matlab Code for Image Thresholding
Region growing segmentation using Matlab
Image Segmentation using Snake Algorithm
Image Segmentation using Morphological Operations
Image Denoising using Pretrained Neural Network-Matlab
Image Deblocking using Deep Learning
Scene Change Detection using Matlab
Object Detection in a Cluttered Scene
Digit Classification Using HOG Features
Image Registration using Matlab
Video Tracking using Optical Flow
Video Tracking using Kalman Filter
Image Category Classification using Deep Learning
Matlab Code for Landmark Recognition using Deep Learning
Matlab Code for Depth Estimation using Image Processing
Matlab Code for Logo Recognition
Vehicle Identification Using Deep learning for ADAS
Matlab Code for Wavelet Denoising
Matlab code for pothole detection using Image processing
Matlab code for Watershed Segmentation
Matlab Code for Real time QR Code recognition
Matlab for Image Super Resolution
Image Classification using GoogLeNet for Visually Impaired
Fruit Recognition using Deep Learning
Malnutrition Detection using Deep Learning
Real Time Leaf Disease Detection using Alexnet
Banana Leaf Disease Detection using CNN
Matlab Code for Signature Verification using Image Processing
Matlab code for optic disk detection in Diabetic retinopathy
Matlab Code for Faulty tool Identification using Image Processing
Matlab Code for Fish Counting
License Plate Recognition using Fast RCNN and OCR
Biometric Security System Using Palmprint And Cryptanalysis
Face Recognition using Matlab - Real Time Approach
Image Quality Assessment for Fake Biometric Detection
Reversible Data Hiding For Compressed Images
Matlab Code Using Detecting Unfocused Raindrops
Matlab Code for Segmentation of Image using Otsu Thresholding
Matlab Code for Satellite Multispectral Image Enhancement
Moving Object Detection using Background Subtraction in Matlab
Text Extraction and Recognition using Matlab
Cloth Type Detection using Segmentation and Classifier using Matlab
Leukocytes Classification and Segmentation in Microscopic Blood Smear
Disparity Matching of 2D Images using Matlab
Matlab Code for Image Fusion for Satellite Images
Matlab Code for content based Image Retrieval
Matlab Code for Cloth Classification
Brain Pressure Analysis using Neural Networks
Matlab Code for Image Dehazing using Image Processing
Fruit Disease Detection using Image Procesing
Matlab Code for Face Recognition using Combined SIFT
ECG Signal Steganography using Matlab
Oral Cancer Detection using Image Processing
Kidney Stone Analysis using Matlab
Matlab Code for Robust Image Watermarking using SVD
Tuberculosis Detection in XRAY Images using Matlab
Image Compression using Huffman Coding and Run Length Coding
Blood Vessel Segmentation in Retinal Images using Matlab
Shadow Detection and Removal in Images using Matlab
Quality Testing of Rice grains using Neural Network
Food Calorie Measurement Using Matlab
Matlab Code for Audio Steganography
Moving Object Detection and Tracking using SIFT with K-Means Clustering
Image Compression using Run Length Encoding
Matlab Code for Image Extraction
Matlab code for Eye Tracking
Matlab code for Image Compression using RoI
Matlab code for Optical Character recognition
Matlab Code for Edge detection
Matlab code for Iris Recognition
Matlab code for Blood Vessel Segmentation
Matlab Code for Integer Wavelet Transform
Matlab code for Image Retrieval for medical images
Matlab Code for Image fusion
Matlab code for Face Recognition using Gabor Features
Matlab code for complex wavelet transform
Matlab code for 3D SPIHT
Matlab code for Wavelet Based Image Fusion
Matlab Code for 3 Dimensonal Discrete Wavelet Transform
Matlab Code for Image Restoration
Matlab code for Image Fusion using Neuro Fuzzy
Matlab Code for Iris Segmentation
Matlab Code for Background Estimation using Mode Algorithm
Matlab Code for Face Recognition using Eigen Faces
Matlab Code for Image Segmentation using K Means
Matlab Code for Image Fusion using PCA
Matlab code for Digital Watermarking
Matlab code for Diabetic Retinopathy using HSV and Fuzzy
Matlab code for Image Compression using DCT and DWT
Matlab Code for Image Inpainting
Matlab code for Background Subtraction using Fuzzy
Matlab code for Real Time Face Detection and Tracking
Matlab Code for Image Compression using Zero Wavelet EZW
Matlab Code for Image Compression using SPIHT
Matlab Code for Motion Detection
Matlab code for Detection of Microcalcification
Matlab Code for LSB Steganography
Matlab Code for Target Detection
Matlab code for Pixel level Image Fusion using Minimum Method
Matlab Code for Seam Carving
Matlab Code for Parking Space Detection
Matlab Code for Smile Detection
Matlab Code for Facial Landmark Detection
Matlab Code for Object Recogntion using Alexnet
Hybrid Buck - Boost Multi Output Quasi Z-Source Converter With Dual DC and Single AC Outputs
Single Phase Grid Connected PV System using Landsman Converter With MPPT Algorithm
Solar Powered BLDC Motor Driver Using LUO Converter
Transformerless Five Level Grid Tied Inverter for Photovoltaic Applications
Off-board electric vehicle battery charger using PV array
A Dual-Active-Bridge-based Fully-ZVS HF-isolated Inverter With Low Decoupling Capacitance
A New Transformer-less Five-level Grid-Tied Inverter for Photovoltaic Applications
Hybrid Buck-Boost Multi Output Quasi Z-Source Converter with Dual DC and Single AC Outputs
A novel bidirectional t-type multilevel inverter for electric vehicle applications
Dc-Dc converter topologies used in photovoltaic grid connected electric vehicle charging stations
Face Emotion Recognition using Raspberry Pi and OpenCV
Google Pi using Raspberry Pi
Text and Label Reading using Raspberry Pi and OpenCV
Real time object recognition using Raspberry Pi and OpenCV
Real time Face Detection using Raspberry Pi and OpenCv
Self-navigating robot using Lidar with Raspberry Pi
Power Monitoring System Using Raspberry Pi
Multiple face detection using Raspberry Pi and OpenCV
Moving Object Detection using Raspberry Pi and OpenCV
Compensation of Voltage Sag Using DVR with PI Controller
Design and Analysis of High Gain Modified SEPIC Converter for Photovoltaic Applications
Speed Control of Single Phase Induction Motor Using AC Chopper by Asymmetrical PWM Method
Power Factor Improvement in Modified Bridgeless Landsman Converter Fed EV Battery Charger
Commutation Torque Ripple Reduction in BLDC Motor Using Modified SEPIC Converter and Three-level NPC Inverter
Sliding Mode Control of Single-Phase Grid- Connected Quasi-Z-Source Inverter
Robust Sliding-Mode Control Design for a Voltage Regulated Quadratic Boost Converter
Design & Simulation of a SEPIC Converter for Home Solar PV Systems
Design Of An Integrated Dynamic Voltage Restorer-Ultracapacitor For Improving The Power Quality Of The Distribution Grid
Enhancement of Solar Farm Connectivity with Smart PV Inverter PV-STATCOM
Hybrid Structure of Static Var Compensator and Hybrid Active Power Filter (SVC//HAPF) for Medium-Voltage Heavy Loads
Application of UPQC for Power Quality Improvement in Induction furnace
Reconfigurable Bidirectional Wireless Power Transceiver for Battery Charging
Electronic Notice Board using Raspberry Pi
Bidirectional Partial Power Converter Interface for Energy Storage Systems to Provide Peak Shaving in Grid-Tied PV Plants
Medication Reminder using Raspberry Pi
Drunk Driving Detection with Car Ignition Locking Using Raspberry Pi
Digital Art Drawing using Raspberry Pi and OpenCV
Google Assistant Home Automation using Raspberry Pi
Pick and Place Robot using Raspberry Pi and OpenCV
Smart Receptionist using Raspberry Pi and OpenCV
Vision based Wifi Control Robot control Raspberry Pi and OpenCV
Weather Logger using Raspberry Pi
Smart library Management system using Raspberry Pi
Brain Controlled Robot using Raspberry Pi
Home Automation System using NFC and Raspberry Pi
Talking standee using Raspberry Pi
Smart Pharmacy using Raspberry Pi
Moving Object tracking using Raspberry and Open CV
Flood Intimation through SMTP using Raspberry Pi
Wildlife photography using Raspberry Pi and Open CV
Automatic selfie camera using Raspberry Pi with Open CV
Light sensing robot using Raspberry Pi and OpenCV
Smart umbrella using Raspberry Pi
Water level Management using Raspberry Pi
Road Accident Analysis using Raspberry Pi
Curved Lane Detection using Raspberry Pi and OpenCV
Object Sorting based on color using Raspberry Pi and OpenCV
Digital Tachometer using Raspberry Pi
Voice Assistance using Android app and Raspberry Pi
Smart Navigation System for Blind People using Raspberry Pi and OpenCV
Pick and Place Robot
Power quality improvements in a zeta converter for brushless dc motor drives
Wireless power transfer for electric vehicle applications
Single-stage low cost grid connected inverter in photovoltaic energy applications?
New five-level active neutral-point-clamped converter
Improved active power filter performance for renewable power generation systems
Ultra Lift LUO Convertor Using Cockcroft Walton Multiplier
Cascaded two-level inverter-based multilevel statcom for high-power applications
High step-up dc-dc converter based on three-winding coupled inductor
A PWM and PFM hybrid modulated three-port converter for a standalone PV/battery Power system
Modified sepic converter with high static gain for renewable applications
A modified sepic converter with high static gain for renewable applications
Forest Fire Detection using Drone
Gesture Controlled Robot using Raspberry Pi and OpenCV
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
ZCD Module
TMS320F2812 DSP Starter Kit
MSP430 Development Board
MOSFET BASED STEPUP STEPDOWN CHOPPERS
Arduino Development Board
PIC Development Board
dSPIC Development Board
₹24,000.00 Exc Tax
dsPIC Development board is proposed to smooth the progress of developing and debugging of various designs encompassing Microcontrollers from Microchip. It’s designed as to facilitate (dsPIC30F 40PIN DIP) On-board Programmer for PIC Microcontroller through ISP on Universal Serial port. It integrates on board USART,LEDs, keypads, 3 ADC inputs and LCD Display to create a stand-alone versatile test platform. User can easily engage in development in this platform, or use it as reference to application development.
Shipping : 4 to 5 days from the date of purchase
Warranty : 3 Months
100 in stock
8279 Keyboard and Display Interface Card
LCD & GLCD Interface Car
Seven Segment Display Interface Card
TLP 250 DRIVER BOARD
8085 Lab Trainer Kit
8086 Lab Trainer Kit
Coal Mine Monitoring System using Raspberry Pi and MQTT
Brain Controlled Home Automation using Raspberry Pi
Brain Controlled Robotic Arm
Brain Controlled Wheel Chair using Brain Sensor
Brain Control Robot using Arduino
Speed Control of Single Phase Induction Motor using Node MCU - Hardware Design
This project is design to control the speed of a single-phase induction motor by using Node MCU controller. The single-phase inverter converts dc voltage into ac voltage and the induction motor speed depends on the frequency of the inverter. The inverter card comes with an inbuilt full bridge rectifier and filter capacitor.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of BLDC Motor using LUO Converter
This project is proposed to control the speed of the BLDC motor using LUO converter. This Project Model build with LUO Convertor Techniques and the Pulses can be triggered using dsPIC Controller. The closed loop feedback system is design using the Hall Sensor.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Three Phase Induction Motor Speed Control using dSPIC Controller
This project describes the speed control of the Induction motor with dsPIC30F4011 controller and by comparing the sine and triangular wave. The dsPIC Controller generates the switching pulses for the inverter and the speed control is done by changing the frequency of reference sine and amplitude of sine. The motor speed is measured by using the proximity sensor, which is placed on the Induction Motor and parameters displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using dSPIC Microcontroller
This project describes the speed control of the BLDC motor with the dsPIC Controller, by using the Hall effect sensors of BLDC Motor. The dsPIC30F4011 controller generates the controlled switching pulses for the inverter. The speed control is done by changing the duty cycle of PWM from dsPIC30F4011. The motor speed is measured by using the proximity sensor placed on the BLDC Motor and displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Five Level Quasi Z Source Multilevel Inverter
This project is based on cascaded inverter and quasi z source techniques. This five-level inverter is cascaded of the two inverter circuits and also included a quasi z source circuit in front of the inverter circuit. A quasi z source circuit is used to boost the dc voltage and the dc voltage is applied to the inverter and obviously inverter output voltage range is increased.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Arduino Based Multilevel Inverter
This project is to design? and Analyse the performance of five levels of Cascaded H-Bridge multilevel inverter topology with Arduino. The PWM pulse will be generated by using Arduino and Embedded C. The output voltage is the sum of the voltage that is generated by each bridge. The switching angles can be chosen in such a way that the total harmonic distortion is minimized.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Files, Report and Presentation
DSP Based Multilevel Inverter
This project is designed to control the multilevel inverter using a TMS320F2812 DSP controller. This high-speed DSP processor is used to generate PWM signals, which is applied to driver circuits and this driver circuit is used to isolate and amplify the pulses. This project’s main objective is to reduce switching losses and harmonics using DSP Processor.
Project Type: Hardware Kit
Delivery: 4 – 5 Days
Support : Online Live Session
Deliverables : Project Kit, Report, and Presentation
NLP based Predicting Depression Symptoms in Arabic Psychological forum
Speed Control o?f Single Phase Induction Motor using Arduino?
This project is design to control the speed of a single-phase induction motor using Arduino. The single-phase inverter converts dc voltage into ac voltage. Single-phase induction motor speed depends on the frequency of the inverter.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of PMDC Motor using dsPIC Controller
This Project is design to control the speed of PMDC motor using dsPIC30F4011. The speed of the dc motor can be varied by changing the duty cycle of the PWM. The motor speed is monitored by using the proximity sensor placed in the motor and this can be done both in open loop and closed loop operations. In this concept, motor speed is controller manually in open and control automatically in closed loop with respect to the set speed.
Project Type : Hardware Kit
Delivery : 4 – 5 Days
Support : Online Live Session
Deliverables : Project Kit, Report and Presentation
Induction Motor Speed Control using?FPGA Kit
This project is design to control the speed of the induction motor using FPGA Processor. By comparing the sine and triangular wave, FPGA generates the controlled switching pulses for the inverter. The speed control is done by changing the frequency of reference sine from Spartan6. The motor speed is measured by using the proximity sensor placed on the Induction Motor and displayed on LCD.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed control of Three Phase Induction Motor using SEPIC Converter
This project is used to control the speed of a three-phase induction motor using SEPIC converter. The sepic converter is used to boost the input voltage. The boosted dc voltage is applied to the three-phase inverter. This three-phase VSI operates at a 120-degree mode of operation. Three-phase induction motor speed depends on the frequency of the inverter.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
IOT Based Three Phase Induction Motor Speed Monitoring and Control
This project is proposed to control and monitor the speed of the three-phase induction motor by using the Arduino and node MCU controller. The Arduino is used to produce the PWM signals and the motor speed is controlled by using the driver and three-phase inverter circuits. We can monitor and control the speed using IoT Techniques.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control Hardware Design
This project is mainly used to control the speed of the BLDC motor by varying the frequency. The BLDC motor has high reliability, high-efficiency high torque/inertia ratio, improved cooling, low radio frequency interference, and noise and requires practically no maintenance. The BLDC motor speed depends on the frequency of the three-phase inverter circuit.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using ZETA Converter
This project is proposed to control the speed of the BLDC motor using zeta converter. DC voltage is applied to zeta converter, it boosts the input voltage and this voltage given to the three-phase inverter, which converts the dc voltage into three-phase ac voltage. The three-phase ac voltage is connected to the BLDC motor and with hall sensor, sensor output is feedback to the controller for closed loop operation.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
BLDC Motor Speed Control using BOOST Converter
BLDC Motor Speed Control using SEPIC Converter
Fifteen Level Cascaded Multilevel Inverter
This project is based on a cascaded H bridge inverter and various topologies. Among these Cascaded multilevel inverters have drawn tremendous interest in the power industry because it requires fewer components. As the number of levels increases the harmonic content of the output voltage waveform decreases. This Cascaded H-Bridge fifteen-level inverter with a minimum number of switches. As the level increases the synthesized output waveform has more steps that produce a staircase wave that approaches desired waveform. The problem of switching losses and power losses can be eliminated with a minimum number of switches.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Fifteen Level Inverter With Reduced Number of Components
This project proposed a new multilevel inverter with a reduced number of switches and the switching losses are also get reduced with reduced total harmonics distortion (THD).
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Speed Control of Three Phase Induction Motor using Arduino
This project is proposed to control the speed of the three-phase induction motor by using the Arduino. Motor speed is controlled by using the driver and three-phase inverter circuits. And also this project has reduced the harmonics and switching losses of the circuit. In this project have two switches are used to increment and decrement the speed of the Three Phase Induction Motor. The speed variation can be viewed in the tachometer.
Project Type? : Hardware Kit
Delivery? ? ? ? ? :? 4 – 5 Days
Support? ? ? ? ? : Online Live Session
Deliverables? : Project Kit, Report and Presentation
Induction Motor Control using SEPIC Converter
Zeta Converter Using Arduino
Three phase Induction motor control using TMS320F2812 DSP Controller
BLDC Motor Control using Spartan 6 FPGA
Boost Converter Using Arduino
Full Range Soft Switching Buck Boost with PI
Conventional Buck Converter
Double Frequency Buck Converter
Single Phase Inverter Using Arduino
Quadratic Boost Converter
DC To DC Converter With Soft Switching Capability
A Single Switch High Step Up Converter
Closed Loop Control for A DC DC SEPIC Converter
Design and Analysis Of High Gain Modified SEPIC Converter
Dynamic Voltage Restorer
Interleaved High Step up Converter
Wireless Power Transmission With Single Phase Inverter
IoT-based Speed Monitoring using Proximity Sensor
Online Shopping Reviews Analysis using NLP
Peoples behavior analysis in Chat Message using NLP
Customer Satisfaction Analysis using NLP
Twitter Spam Detection using Natural Language Processing
Building a chatbot for healthcare using NLP
Money Laundering Detection using Artificial Intelligence
AI based Power Consumption Analysis for Electrical Appliances
Movie Review Analysis and Classification using AI
Twitter Data Classification using Sentimental Analysis
Building a Model for Dynamic Pricing Machanism using Sentimental Analysis
AI based Intelligent Traffic Light Control System using CNN
AI based Brain Tumour Detection using SWT based Image Fusion
AI Therapist Using Natural Language Processing
Spam Classification using Artificial Intelligence
Music Recommendation System using AI
Building a chat-bot with deep learning
Movie Recommendation System using AI
Automated Chat Bot for College Application using AI and ML
Bitcoin Price Prediction using Artificial Intelligence
Fake product Review Classification and Analysis using AI
AI Early Disease Prediction
Credit Card Fraud Detection using Artificial Intelligence
Stock Market Prediction using DNN
Election Result Prediction based on Twitter Data Analysis using AI
Low Power Monitoring and Control System using Raspberry Pi
Pipe Crawling Robot using Raspberry Pi
Counting Apples and Oranges using Raspberry pi and OpenCV
Web Control Robot using Raspberry Pi
Home Automation System using Bluetooth and Raspberry Pi
Fire Detection using OpenCV with Raspberry Pi
Industry Safety Management System using Raspberry Pi
Electronic Voting Machine using Raspberry Pi and OpenCV
IoT based Smart Shopping Cart using RFID and Raspberry Pi
Lip Movement Detection using Raspberry Pi
Online Examination System using Raspberry Pi
Motion Recognition using Raspberry Pi and OpenCV
Smart ATM Security System using Raspberry Pi and OpenCV
Face to Voice for visually impaired using Raspberry Pi
Smart Grid Transmission Line Monitoring System
Data Security System Using AES Algorithm
IOT based Child Tracking System using Node MCU
Google Assistant Voice Controlled Home Automation
IoT based Smart Door Locking System using Blynk App
IoT based Home Surveillance System using SMTP and Raspberry Pi
IoT based Wifi Control Robot using Node MCU
IoT based Indoor Navigation System using LoRa
IoT based Vertical Farming Watering System using Arduino
Contactless Temperature Monitoring and Mask Detection using IoT and Arduino
IOT based smart circuit breaker using arduino
Automatic Vehicle Speed Control System using IoT
Vehicle Collision Detection and Rescue Sysem using IoT and Arduino
IoT based Doorbell Security System using AWS and Raspberry Pi
IOT based anti-poaching system using Raspberry Pi
IoT based Anti Theft Detection System using Raspberry Pi
Data Security System Using AES Algorithm
ML Model to Improve Learning process and Reduce Droupout Rates
Message Classification in Facebook learning group using ML
The objective of the project is Message Classification in facebook learning group using Machine Learning to Data Analysis.
Platform? ? ? ? ?: Python
Delivery? ? ? ? ? :? One Day
Support? ? ? ? ? : Online Demo with Explanation
Deliverables? : Project Files, Report and Presentation
ML based Opinion mining online Customer Reviews
Detection of distributed service attacks in SDN using ML
Data Poison Detection using Machine Learning
Detecting Phishing Attacks using NLP and Machine Learning
Prediction of Election Result based on Twitter Data
Ransomware Detection and Classification Using Machine Learning
Netflix Stock Market Prediction using Machine Learning
Estimation of Power Consumption for Electrical Appliances using ML
Agricultural Price Prediction using Machine Learning
Failure Prediction of Machineries using Machine Learning
Diet Recommendation system using ML
Math Learning for ADHD Personality using Machine Learning
Early Disease Perdition using Machine Learning
Prediction and Classification of COVID-19 Death and Recovered Cases using ML
OTP based cardlesss Transaction using Atm
Facial Emotion Recogntion using NLP
A systematic review on spam filtering techniques using NLP
New three-phase symmetrical multilevel voltage source inverter
Transformer less grid connected pv array
Aircraft power distribution system
Direct torque control of induction motor
Energy management system for hybrid power sources
Field oriented control of induction motor
HVDC power transmission
Power quality in distribution network(statcom)
OLTC phase shifting transformer controlled power network
Research on statcom for reactive power compensation
Sliding Mode Control Of Boost Converter
Static Synchronous Series Compensator
Unified Power Flow Controller
Electric Vehicle To Grid Energy Transmission
Dfig Based Wind Farm
Induction Generator Based Wind Energy Generation
Asynchronous Generator Based Wind Energy Generation
A Non Variable Dc Link Voltage Control Method For PMSM Driven By Quasi Z Source Inverter
Dual Active Bridge Based Fully ZVS HF Isolated Inverter
Dual Input Dual Output DC-DC Converter For Solar PV Battery Charging For EV
10KW Solar Powered Bidirectional EV Charger
Machine Learning Based Circuit Breaker
Charge Pumped Ultra Lift LUO Converter For Green Transportation
Solar Powered Bldc Motor Drive Using Boost Converter
Battery Cooling System For EV Applications
Dual Active Bridge Based Fully ZVS HF Isolated Inverter
Crime Detection and Classification using Fuzzy Logic Techniques
A 10kW Solar-Powered Bidirectional EV Charger Compatible with Chademo and COMBO
Dual input?dual output DC?DC converter for solar PV/battery/ultra-capacitor powered electric vehicle application
Renewable Energy Sources Integration and Control in Railway Microgrid
Switched-Capacitor Voltage Boost Converter for Electric and Hybrid Electric Vehicle Drives
Solar Optiverter ? A Novel Hybrid Approach to the Photovoltaic Module Level Power Electronics
A Novel Variable DC-Link Voltage Control Method for PMSM Driven by Quasi-Z-Source Inverter
A Modular Multiport Transformer With Integrated Split Battery Energy Storage for Versatile Ultrafast EV Charging Stations
A 13-LEVELS MODULE (K-TYPE) WITH TWO DC SOURCES FOR MULTILEVEL INVERTERS
A novel dual-input zvs dc/dc converter for low-power energy harvesting applications
A Novel Interleaved Non-Isolated Ultra High Step-Up DC-DC Converter with ZVS Performance
A Single-Switch High Step-Up DC-DC Converter Based on Coupled Inductor and Voltage Multiplier Cell for Renewable Energy Apps
AN EFFICIENT SINGLE-PHASE AC-TO-AC BUCK AND BOOST MATRIX CONVERTER
Coupled-Inductor L-Source Inverter
Modulation Method of a Full-Bridge Three-Level LLC Resonant Converter for Battery Charger of Electrical Vehicles
Flexible Mode Bridgeless Boost PFC Rectifier with High Efficiency over a Wide Range of Input Voltage
High Performance Dc-Dc Converter For Low Voltage Standalone Solar PV Systems
NLP based Chat-Bot for Medical Application
Object Picking Robot using Raspberry Pi
Three Phase Transmission Line Monitoring using IoT
VR Robot Using Raspberry Pi
Family Monitoring Robot Based using Raspberry Pi and OpenCV
High Performance Array Multiplier using Reversible Logic Structure
Design of Low Power Adder and Multiplier Using Reversible Logic Gates
Design of Low Power and High Speed Dynamic Latch Comparator using 180 nm Technology
Sign Language Recognition using Raspberry Pi and OpenCV
Forest Fire Detection using Drone
Gesture Controlled Robot using Raspberry Pi and OpenCV
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
DUAL SCR MODULE with Driver
Half Bridge MOSFET MODULE with Driver
6Leg TLP250 Driver Module for Inverter
6Leg Individual TLP250 Driver Module
Dry and Wet Age-Related Macular Degeneration Classification using OCT Images and Deep Learning
4Leg Individual TLP250 Driver Module
2Leg Individual TLP250 Driver Module
8086 Development Board
SRM Power Converter module with Asymetric Bridge converter and Power Driver
Three Phase Inverter Module
Single Phase Inverter Module
Stair Case Climbing Robot
Led & Switch Interface Card
SLAM Robot using ROS with LIDAR
Agriculture Robot
4x4 Matrix Keypad Interface Card
Fire Fighting Robot using Open CV
Wheel Chair Control using BCI
Traffic Light Control Interface Card
8259 Interface Card
8255 Interface Card
ADC Interface Card
Stepper Motor & DC Motor Interface Card
Relay Buzzer Interface Card
8051 Trainer Kit
ARM7 LPC2148 Development Board
SINGLE PHASE FULL CONVERTER
SINGLE PHASE SEMI CONVERTER
SINGLE PHASE AC VOLTAGE CONTROLLER
SCR-TRIAC AC PHASE CONTROLLER
SINGLE ø TO SINGLE ø CYCLO CONVERTER
R,RC,UJT TRIGGERING CIRCUIT
PARALLEL INVERTER USING SCR
BASIC SERIES INVERTER
FORCED COMMUTATION METHODS (CLASS A,B,C,D,E)
VI CHARACTERISTIC OF SCR,MOSFET,IGBT
VI CHARACTERISTIC OF SCR,MOSFET,IGBT,TRIAC and DIAC
VI CHARACTERISTIC OF SCR
VI CHARACTERISTIC OF MOSFET
VI CHARACTERISTIC OF IGBT
VI CHARACTERISTIC OF TRIAC
DC CHOPPER USING SCR
SINGLE PHASE DUAL CONVERTER
IGBT BASED SINGLE PHASE INVERTER
DC MOTOR CONTROL USING IGBT CHOPPER
IGBT BASED THREE PHASE INVERTER
RESONANT DC-DC CONVERTER
SCR TRIGGERING CIRCUIT
Three Phase Full Converter
Three Phase Semi Converter
Three Phase AC Voltage Converter
Single Phase Cascaded Multilevel Inverter
Single Phase Rectifier Trainer Kit using TI Launchpad XL TMS320F28027F
This Single Phase rectifier trainer kit integrated with Texas Instrument’s DSP help the user to understand complete hardware design of single phase rectifier system on both simulation and hardware. SCR’S were triggered by DSP enabling students to learn how to use DSP for power electronics applications.
This kit has an Texas Instruments C2000 PICCOLO LaunchPad TMS320F28027 with inbuilt XDS100 Emulator and provides reliable and graphical programming development environment system for power electronics application.
Low cost DSP development platform for Power Electronics Application from Texas Instruments.
2 in stock
SMPS Study Trainer
Three Phase Cascaded Multilevel Inverter
THREE PHASE AC PHASE CONTROL MODULE for 3Phase Induction Motor Control
THREE PHASE FULL CONVERTER MODULE for PMDC Motor Control
THREE PHASE INVERTER MODULE for BLDC Motor Control
THREE PHASE INVERTER MODULE for 3Phase Induction Motor Control
STEPPER MOTOR CONTROL
CHOPPER FED IGBT POWER MODULE for PMDC Motor Control
SR-MOTOR(SRM) CONTROL POWER MODULE
VOLTAGE REGULATION OF 3Ph SYNCHRONOUS GENERATOR
TMS320F28335 DSP Development board
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