DESIGN AND IMPLEMENTATION OF RoBA MULTIPLIER ON MAC UNIT
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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
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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
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
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Hand Gesture Recogntion for Deaf and Dumb aid Communication
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Diabetic Retinopathy Detection using Groud Truth Segmentation
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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
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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
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Online Examination Portal
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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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