This is a full-stack fitness game framework that uses YOLO for object tracking and MediaPipe for pose estimation, all running locally through your webcam. The Spring Boot backend orchestrates Python AI processes while a React dashboard lets you start games, view metrics, and export CSV workout data. It ships with 16 exercise templates and includes text-to-speech coaching. The architecture is straightforward: UI calls Java REST endpoints, Java spawns Python processes, Python runs computer vision and logs to CSV. If you're prototyping gamified fitness apps or need a reference for mixing Java process management with Python ML, this is a working foundation with all the plumbing connected.
npx -y skills add aradotso/data-skills --skill game-analytics-platform-computer-vision --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills