Projects
TraffiKAI |
• A Automated Traffic Signal System with Dynamic Traffic Signaling and Emergency Vehicle. The project also
involved designing and developing a user interface for real-time traffic flow optimization using PyQT5.
• Built a classification model by using various transfer machine learning techniques such as Vgg16, Resnet50 and
Single-Shot-Detector Object Detection model for emergency vehicle detection and density score calculation.
PharmAIcist |
• It’s leveraging machine learning to predict bioactivity and toxicity probability scores of chemical compounds,
enabling targeted research in neurodegenerative disorders.
• Developed and evaluated 10 ML models, selecting Random Forest as the best model with 90% Accuracy for
bioactivity prediction based on CHEMBL Dataset.
CleanSweep.AI | |
• The problem is that scattered scrap and garbage in public spaces cause environmental, health, and social issues, especially in areas with poor waste management systems.
• The objective is to design a machine learning model that can detect and quantify garbage from various video sources and alert the authorities if the garbage density exceeds a certain level.
