Mail to : suriyaa2002@gmail.com for Full Project Report and Full Project Code. This does not have the code files !
Posture correction is an important aspect of maintaining a healthy lifestyle, especially in today's digital age where people spend a significant amount of time in front of screens. Computer vision techniques, combined with the powerful Mediapipe library from Google, offer a promising solution for detecting and correcting poor posture in both images and live videos.
| MediaPipe Architecture |
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| Good Posture |
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| Bad Posture |
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Mediapipe is a powerful computer vision and deep learning framework developed by Google. It provides a collection of pre-built, customizable models and tools for building applications that process images and videos. The library offers a wide range of functionalities, including face detection, hand tracking, pose estimation, and more.
- Download the .ipynb file
- Open it using Google Colab or Jupyter Notebook
- Add a "/content/images" folder with ur selfie images facing the computer
- Run the Code Blocks
- Python
- Mediapipe
- OpenCV
- ipynb notebooks