This project consists of a Python Flask web application that provides an interactive user interface for predicting various diseases. The web app integrates six different prediction models which are trained differently for the following diseases:
- Users can input relevant medical data to get predictions for the specific disease.
- Each disease prediction is handled by a separate prediction model.
- The web app provides user-friendly visualizations and explanations of the predictions.
- Results are displayed in real-time, providing quick and efficient disease risk assessment.
You can access a live demo of the web app at here.
To run the web app locally, follow these steps:
- Clone the repository: git clone https://github.com/debasish-dutta/disease-predictor.git
- Install the required dependencies: pip install -r requirements.txt
- Start the Flask development server: python app.py
- Open a web browser and navigate to http://localhost:5000 to access the web app.
Contributions are welcome! If you want to contribute to this project, please follow these guidelines:
- Fork the repository and clone it to your local machine.
- Create a new branch for your feature or bug fix.
- Make your changes and test thoroughly.
- Commit your changes with descriptive commit messages.
- Push your branch to your forked repository.
- Open a pull request, providing a clear title and description of your changes.
- Your pull request will be reviewed by the project maintainers. Feedback or suggestions for improvements may be provided.
- Once approved, your changes will be merged into the main repository.
This project is licensed under the GNU GPL v3.0 License. See the LICENSE for more information.