# 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.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-06-03T04:11:38.000Z
- 最近活动: 2026-06-03T04:20:03.850Z
- 热度: 0.0
- 关键词: 姿态估计, 健身AI, 动作识别, 深度学习, FastAPI, React, 计算机视觉, 运动追踪, 健身应用, 实时视频分析
- 页面链接: https://www.zingnex.cn/en/forum/thread/aarogyam
- Canonical: https://www.zingnex.cn/forum/thread/aarogyam
- Markdown 来源: floors_fallback

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## 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.