I will do ai table tennis stroke analysis using computer vision and motion tracking

This gig focuses on AI-powered stroke and technique analysis for table tennis. Using computer vision, the system analyzes how strokes are executed rather than just match outcomes.

The AI tracks player posture, racket motion, swing angles, and timing to classify strokes such as serves, topspin, blocks, and smashes. Motion patterns are analyzed to detect consistency, tempo, and technique efficiency.

This solution is ideal for coaches and players aiming to improve form and execution through objective feedback. Analysis can be performed on training sessions or match footage, with outputs delivered as annotated videos, visual overlays, and structured summaries.

The system is modular and can later integrate ball tracking or performance metrics. It is designed for accuracy, repeatability, and real coaching workflows not experimental demos.