Furkan-Gulsen/sport-with-ai-monorepo
Purpose of the Project The most general aim of the project is to make our user feel himself in the gym thanks to artificial intelligence technology while doing sports.
Leverages pose estimation with 32-point body keypoint detection to provide real-time form correction during workouts, alerting users to incorrect movements and demonstrating proper technique. Built as a monorepo architecture combining mobile application with social features—activity tracking, user leagues ranked by weekly performance, and content sharing—alongside a backend AI model for local pose analysis. Integrates historical workout data visualization to support disciplined training habits while fostering community competition through gamified ranking systems.
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TypeScript
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Last pushed
Oct 15, 2022
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