| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned | license |
|---|---|---|---|---|---|---|---|---|
Onsite Health Diagnostic |
💻 |
purple |
red |
streamlit |
1.32.2 |
app.py |
false |
mit |
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.
link:
- Pneumonia : Dataset
- Brain tumour : Dataset
- Diabetes : Dataset
- Heart disease : Dataset
- Breast Cancer : Dataset
- Malaria-Detection : - Dataset
- Clone the repository:
git clone https://github.com/praj2408/Onsite-Health-Companion-OHC
- Install dependencies
pip install -r requirements.txt
- Run the application
streamlit run app.py
This project is licensed under the MIT License - see the LICENSE file for details.