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Aarogyam: Real-time Fitness Movement Recognition and Counting System Based on Pose Estimation

A real-time fitness movement recognition system combining pose estimation and deep learning. It supports real-time detection, count tracking, and posture feedback for various movements such as squats, lunges, and bicep curls, using a FastAPI backend and React frontend architecture.

姿态估计健身AI动作识别深度学习FastAPIReact计算机视觉运动追踪健身应用实时视频分析
Published 2026-06-03 12:11Recent activity 2026-06-03 12:20Estimated read 1 min
Aarogyam: Real-time Fitness Movement Recognition and Counting System Based on Pose Estimation
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Section 01

导读 / 主楼:Aarogyam: Real-time Fitness Movement Recognition and Counting System Based on Pose Estimation

Introduction / Main Post: Aarogyam: Real-time Fitness Movement Recognition and Counting System Based on Pose Estimation

A real-time fitness movement recognition system combining pose estimation and deep learning. It supports real-time detection, count tracking, and posture feedback for various movements such as squats, lunges, and bicep curls, using a FastAPI backend and React frontend architecture.