Implementation of pattern Discovery to retrieve relevant document using text mining.
Securing Computer Files using Bluetooth.
Bug Tracking System (ASP).
Credit Card Fraud Detection using Hidden Markov Model (ASP).
Event Management (ASP).
Web Base E-learning(ASP).
Face Detection (C#).
Jamming Aware Traffic Allocation for Multiple path Routing using portfollo selection theory (C#).
Personal shopping assistance (C#).
Process scheduling simulation (C#).
Stegnography Project (C#).
Touch Driven Interaction Via NFC (C#).
Virtual Energy-Based Encryption and Keying for wireless sensor Networks (VEBEK) (C#).
Securing Computer Files using Bluetooth (VB.Net).
Agriculture health line (ASP.Net).
Search Engine optimization (ASP).
IoT Based Projects with Android:
Bank Locker System.
Online Gas Booking System.
IOT based Health Monitoring System.
Home Automation.
Li-fi Based Shopping.
Li-fi Based Health Monitoring System.
Railway Track crack Detection.
Smart Waste Management System.
Traffic Signal Clearance for Ambulance.
Truck weight Calculation System.
Door Bell Notification.
IOT based Soil Moisture & agriculture.
Find My Stuff.
Bluetooth LCD Display using Voice To Digital System.
Co-Di-Ra.
Voice Control Robotic Vehicle.
LCD Display notice board using Bluetooth.
Home Appliance controlled by Bluetooth.
IoT Based Projects with PHP:
IOT based air & sound pollution.
IOT based Health Monitoring System.
IOT based Soil Moisture.
IOT based Automatic Metering Reading.
Web based water controller.
Smart Health Care.
Smart Kitchen.
Smart Trolley.
Portable System for Bio-electrical Impendence (ECG).
Find My Stuff.
Python Projects:
Driver Drowsiness Detection project.
Detecting Fake News project.
Speech Emotion Recognition project.
Detecting Parkinson’s Disease project.
Age and Gender Detection project.
Breast Cancer Classification project.
Product rating using sentiment analysis.
Determining People’s Emotions in Face book.
Sentiment Analysis on E-commerce.
Sentiment Analysis of Movie Reviews.
Online shopping product evaluation based on customer review.
Twitter Sentiment Analysis.
Estimating Twitter User Location Using Social Interactions.
Automatic License Plate Recognition using image processing.
Face Recognition using image processing.
Handwritten Digit Recognition using image processing.
Investigating the Use of Bots to Spread Fake News in Social Media.
Online shopping product evaluation based on customer reviews.
Determining threats and trends using Facebook public profile.
Determining threats and trends using twitter for specific geographic location.
Parents-Teens-Digital-Monitoring.
Product rating using Sentiment analysis.
Sentiment Analysis: Determining People’s Emotions in Facebook.
Sentiment Analysis of Movie Reviews: A study on Feature Selection & Classification Algorithms.
Sentiment Analysis on E-commerce Application by using Opinion Mining.
Sentiment Analysis on Social Media.
Social Media Analytics for E-commerce Organisations.
Using Social Media To Predict the Future: A Systematic Literature Review.
Machine Learning Projects:
Using artificial intelligence to improve early breast cancer detection.
Artificial Intelligence Techniques for Cancer Detection and Classification: Review Study.
Performance Analysis Of Various Machine Learning Techniques To Predict Cardiovascular Disease: An Emprical Study.
Machine Fault Signature Analysis.
Disease Protein Prediction: A Machine Learning Approach.
Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain.
Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis.
Survey of Machine Learning Algorithms for Disease Diagnostic.
Sentiment Analysis of Tweets using Machine Learning Approach.
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine.
A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing.
A Method for Sensor Reduction in a Supervised Machine Learning Classification System.
Dynamic Auto-selection and Auto-tuning of Machine Learning Models for Cloud Network Analytics.
Self Paced Deep Learning for Weakly Supervised Object Detection.
Automatically Evaluating Balance: A Machine Learning Approach.
Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training.
Adversarial Deep Learning Models with Multiple Adversaries.
Universal Approximation Capability of Broad Learning System and Its Structural Variations.
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer.
Multimodal Machine Learning: A Survey and Taxonomy.
Computer Vision and Machine Learning for Viticulture Technology.
A novel method for implementing Artificial Intelligence, Cloud and Internet of Things in Robots.
Data Classification with Deep Learning using Tensorflow.