Deepshot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71%)

[WIP] Money Ball AI 💸 🏀 💻: Transforming raw NBA play-by-play data into predictive models for next-generation basketball analytics

Archery Posture AI — Precision & Posture Evaluation An AI-powered system that analyzes archery videos to evaluate athlete posture, precision, and form using MediaPipe, OpenCV, and advanced pose estimation

⚽️A deep learning-based system designed for re-identifying football players across video frames and camera angles using person re-identification techniques. This project combines computer vision, feature extraction, and player tracking to help automate sports analytics and player recognition.