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JS-AI-Body-Tracker is a standalone JavaScript library built on TensorFlow.js that enables real-time human pose estimation and movement analysis directly in the browser without requiring Node.js. The library implements three distinct neural network models: MoveNet, PoseNet, and BlazePose, the latter offering real-time 3D mapping capabilities. It is designed for easy integration into web applications, requiring only a single file for import along with standard TensorFlow.js dependencies. The system supports real-time video analysis from three primary sources: live webcam feeds from computers or smartphones, local video files in formats such as MP4, MKV, AVI, and WebM, and online streaming protocols including IPTV and M3U8. Key features include immediate detection and visualization of human skeletons on an HTML canvas, 3D visualization support via ScatterGL, and an extensible architecture with event hooks for custom workflows. A sample application is included to demonstrate usage across different input types, ma
