Traditional basketball training generally requires the presence of a coach to provide guidance and technical corrections. However, not all players have access to professional coaches or adequate training facilities. The use of AI technology in personal basketball training can be an innovative solution to overcome these limitations. The Aim-Ball offers shooting training by teaching shooting form on a personal basis, without a coach. This research focuses on the development and evaluation of a pose classifier to help players. Through collected data and creating a model, the Aim-Ball AI can detect the shooting form successfully. The Aim-Ball AI can play sound differently according to which kind of shooting form we are doing.