https://github.com/nishthasharma-22/fitelderai
AI-driven upper body fitness app for seniors with Rikli and Jones flexibility tests using computer vision.
https://github.com/nishthasharma-22/fitelderai
computer-vision hackathon-project mediapipe research streamlit-webapp
Last synced: 3 months ago
JSON representation
AI-driven upper body fitness app for seniors with Rikli and Jones flexibility tests using computer vision.
- Host: GitHub
- URL: https://github.com/nishthasharma-22/fitelderai
- Owner: NishthaSharma-22
- Created: 2024-06-30T15:27:04.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-30T17:33:16.000Z (about 2 years ago)
- Last Synced: 2025-04-05T07:42:28.964Z (over 1 year ago)
- Topics: computer-vision, hackathon-project, mediapipe, research, streamlit-webapp
- Language: Python
- Homepage:
- Size: 23.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Upper Body Fitness Tests for Seniors
## Overview
This web app provides two fitness tests for senior citizens, focused on upper body strength and flexibility. The tests are based on the Rikli and Jones Senior Fitness Test.
## Features
- **Arm Curl Test**: Counts the maximum number of curls performed in 30 seconds.
- **Chair Stand Test**: Counts the maximum number of stand-ups performed in 30 seconds.
## How to Run
1. Clone the repository.
2. Install the dependencies using `pip install -r requirements.txt`.
3. Run the app with `streamlit run senior_fitness_tests.py`.
## Deployment
This app is deployed on [Streamlit Community Cloud](https://streamlit.io/cloud).
## License
This project is licensed under the MIT License.