Basket Brain: A Hybrid Model for Basketball Play Generation

The research was conducted with the aim to develop a system that would aid sporting teams to improve their coaching and preparation of games. The goal of the research was to design and create a system that could generate basketball plays and plot it on a whiteboard similar to what coaches use to demonstrate to the players. The study uses machine learning algorithms to understand and learn from a team’s past game footage and generate optimal plays based on a particular team’s strengths and weaknesses. The proposed methodology can be used to provide an extra dimension to basketball coaching by using play suggestions that can improve team performance and increase their chances of winning games. The research involves the development of a software application, which will further be evaluated for its accuracy, efficiency, and usability in real-world games.