Study enhances player development via AI-driven coaching and performance analysis, indicating improved outcomes.
This project presents an AI-based personalized sports coaching and performance analysis system designed to improve player development using data-driven techniques. The system recommends suitable coaches based on player skills and preferences using a cosine similarity algorithm. It also tracks player performance over time and predicts future scores using machine learning. A key feature of the system is its ability to compare expected and actual performance to identify whether a player is improving or experiencing a decline. The platform also includes booking, communication, and visualization features, providing a complete digital coaching environment. Overall, the system enhances traditional coaching by making it more personalized, intelligent, and efficient.
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NJ et al. (2026) studied this question.
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