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samithcs/health-monitoring-app-streamlit

sourceHugging Facemitupdated 1y agoView on Hugging Face
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App README

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


Health Monitoring App with Streamlit

Overview

The Health Monitoring App is a web-based application developed using Streamlit. It helps healthcare professionals and individuals track and analyze health metrics through an intuitive interface.

Features

  • —User-Friendly Interface: Simple and clean design for easy navigation.
  • —Health Data Input: Enter health metrics such as weight, blood pressure, and heart rate.
  • —Data Visualization: Interactive charts to visualize health trends over time.
  • —Data Storage: Securely store and retrieve user data.
  • —Responsive Design: Optimized for both desktop and mobile devices.

Installation

  1. 1.Clone the Repository:
bash
   git clone https://huggingface.co/spaces/samithcs/health-monitoring-app-streamlit
   cd health-monitoring-app-streamlit
  1. 1.Set Up a Virtual Environment:
bash
   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. 1.Install Dependencies:
bash
   pip install -r requirements.txt
  1. 1.Run the Application:
bash
   streamlit run app.py

Open http://localhost:8501 in your browser.

Usage

  • —Enter health metrics in the provided forms.
  • —View trends and charts to monitor your health over time.
  • —Export data for further analysis if needed.

Deployment

The app is hosted on Hugging Face Spaces:

Health Monitoring App on Hugging Face Spaces

Contributing

  1. 1.Fork the repository.
  2. 2.Create a branch: git checkout -b feature-name.
  3. 3.Make changes and commit: git commit -am 'Add new feature'.
  4. 4.Push to branch: git push origin feature-name.
  5. 5.Create a Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for details.