https://github.com/coder-141/weight-lifting-pose-estimation
A computer vision-based web application for recognizing and optimizing weight lifting movements using MediaPipe, OpenCV, and Flask with a styled frontend.
https://github.com/coder-141/weight-lifting-pose-estimation
html-css-javascript mediapipe opencv python
Last synced: 2 months ago
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A computer vision-based web application for recognizing and optimizing weight lifting movements using MediaPipe, OpenCV, and Flask with a styled frontend.
- Host: GitHub
- URL: https://github.com/coder-141/weight-lifting-pose-estimation
- Owner: CODER-141
- License: mit
- Created: 2025-05-26T17:17:56.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-26T17:30:33.000Z (about 1 year ago)
- Last Synced: 2025-06-17T08:07:29.987Z (about 1 year ago)
- Topics: html-css-javascript, mediapipe, opencv, python
- Language: Python
- Homepage:
- Size: 10.3 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Weight Lifting Pose Estimation
A web-based workout application that uses computer vision (MediaPipe & OpenCV) to detect and evaluate weight lifting movements. Features include:
- Real-time repetition counting
- Action correctness feedback
- Beautiful web frontend using Flask and HTML/CSS
## 🔧 Technologies
- Python
- Flask
- OpenCV
- MediaPipe
- HTML/CSS/JS
## 🏁 Getting Started
### 1. Clone the repo
```bash
git clone https://github.com/your-username/weight-lifting-pose-estimation.git
cd weight-lifting-pose-estimation