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praj2408/Onsite-Health-Companion-OHC

This project develops a machine learning-based onsite health diagnostic system, facilitating real-time analysis and early detection of health conditions. By integrating data from various sources, it offers personalized insights and enhances healthcare accessibility.


title: Onsite Health Diagnostic
emoji: ๐Ÿ’ป
colorFrom: purple
colorTo: red
sdk: streamlit
sdk_version: 1.32.2
app_file: app.py
pinned: false
license: mit

Onsite-Health-Companion (OHC)

Onsite Health Companion (OHC) is the web application that allows users to predict whether the user has been infected with a menacing disease or not. These diseases can be very dangerous to health if they are not treated properly. The main objective of OHC is to help people predict the disease in case of absence of medical professionals, strikes or any related uncertainties.

Website

link:

Table Of Contents

Datasets

Clone

  1. Clone the repository:
git clone https://github.com/praj2408/Onsite-Health-Companion-OHC
  1. Install dependencies
pip install -r requirements.txt
  1. Run the application
streamlit run app.py

License

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