Abstract:

This paper introduces TennisIQ, an AI-driven sys tem for intelligent tennis performance analytics and coaching. It integrates deep learning, computer vision, and probabilistic modeling to automatically evaluate player performance from standard match videos. TennisIQ automatically detects and classifies shots into serve, forehand, backhand, volley, and drop shot, while computing shot quality scores based on relevant physical and tactical parameters, and eventually providing AI based recommendations on shot selection by win probability estimation. The platform provides interactive visualizations of the strong and weak points of players, as well as their improvement trends. Experimental results reveal shot detection accuracy of 96%, classification precision of 93%, and a 20% enhancement in player efficiency. TennisIQ democratizes data-driven tennis coaching by bridging the gap in analytics between professionals and amateurs. Potential extensions include real-time tactical prediction and integration with wearable biomechanical sensors.