Beyond the Coach: Exploring the Efficacy of a Machine Learning Application for Improving Tennis Players' Performance

At some point in their lives, most tennis players are likely to encounter the dilemma in which they can't constantlyreceive guidance from a coach. Are there any alternatives that can provide players with the means to improve theirgame? For a tennis player, it is dif icult to always rely on a coach for tips and suggestions [4]. Mundane constraints oftenprevent players from consistently improving their techniques and strokes through the guidance of a professional figure [5]. In this paper, we discuss the prospect of using an application to act in the stead of a coach tohelpaspiring tennis players improve. Using machine learning, the application analyzes and compares two videos of corresponding strokes inputted by users [6]. The AI aligns the frames by clustering the motions of the strokes andthen outputs appropriate tips according to the results [7]. This application will allow tennis players to work onandimprove their performance on occasions where their coaches aren't available, improving both ef iciency andconsistency