Advanced computer vision system for analyzing squash matches, providing detailed player and ball tracking, tactical analysis, and performance metrics with 99.8% frame processing accuracy. Features real-time movement analysis and automated coaching insights.

Intelligent fragrance recommendation system that analyzes scent profiles, personal preferences, and seasonal factors to suggest fragrances. Uses natural language processing to understand fragrance descriptions and embeddings to match users with their ideal scents.

A comprehensive website that acts as a 'github' for students to share their notes and collaborate on projects.