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Smart Grid Transmission Line Monitoring System
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SKU: PAN_EMB_152
Categories: Arduino Projects, Embedded Projects, Node MCU Projects
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SKU: PAN_EMB_148 Categories: Arduino Projects, Embedded Projects, Node MCU Projects Tag: arduino + IoT
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.
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