ML/ DL lab is involved in the following projects.
AI-based Wheat Crop Yield Estimation
The Project Utilizes AI-based Advanced Techniques to Estimate the Wheat Crop Yield Based on Wheat Tassel Counting. It helps to provide Timely and Reliable Crop Yield Estimation for Efficiently Controlling the Imports and Exports to Ensure Sustainable Demand Supply Chain. We have utilized state-of-the-art algorithms to produce results on public dataset. We have also processed and annotated another dataset which was provided by one of the collaborators.
AI-based Wheat Disease Detection and Classification
This project utilizes AI-based Advanced Techniques to Detect and Classify the 5 Disease Classes in Wheat Crops (including leaf rust, powdery mildew, stem rust, stripe rust, and smut). We have produced initial results on a self-collected dataset. Also, published a conference paper where we compared two of the most widely used algorithms i.e. CNN and ViT to determine which one works the best for the disease classification problem.
AI-based HTML Forms Parser for Air-Gap Networks
This project utilizes the Advanced AI Techniques to extract the useful Information within the Air Gap Network without any Physical Connection. We have successfully demonstrated the proof of concept.
Human Face Emotion Recognition System
This project aims to develop a system capable of accurately detecting and categorizing human emotions from facial expressions in real-time, leveraging computer vision and machine learning techniques.
Machine Learning Based Resource Utilization for Energy Harvesting Internet of Things (IoTs)
This project aims to develop an AI-based critical infrastructure security system using IoT. It is a heterogeneous network with multiple sensors including cameras, temperature, motion, acoustic sensors etc. Multi-hopping is obtained using ZigBee as a communication protocol.
Physical Defect Detection in ICs using AI
This project aims to develop an AI-based system that should detect three different types of defects in ICs i.e. improper texture, corrosion, and black topping. Initial work is started including model selection.