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

Last synced: 23 days ago
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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 (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-30T17:33:16.000Z (6 months ago)
• Last Synced: 2024-07-03T12:09:16.647Z (6 months ago)
• Language: Python
• Size: 23.4 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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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 app.py`.

## Deployment

This app is deployed on [Streamlit Community Cloud](https://streamlit.io/cloud).

## License

This project is licensed under the MIT License.