Analyze racket sports motions in real time using AI for pose tracking, action recognition, and biomechanics without cloud dependency.
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Updated
Jun 2, 2026 - Python
Analyze racket sports motions in real time using AI for pose tracking, action recognition, and biomechanics without cloud dependency.
This project utilizes computer vision techniques to analyze a basketball dribble through the extraction of meaningful insights from a video. The implementation is done in Python, incorporating popular computer vision libraries such as OpenCV and Mediapipe. (This project is a part of assignment)
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