Developed an automated sports vision pipeline combining YOLO object detection, custom keypoint estimation, and homography projection for real-time tennis match analysis., Built a deep-learning mini-court projection engine with multi-object tracking (MOT) to calculate ball trajectories, speed, player heatmaps, and court coverage statistics., Implemented automated match-stat extraction modules generating smooth visual overlays for player positioning, shot classification, and performance analytics from raw match video.