https://github.com/debasish-dutta/disease-predictor
This repo contains the application which predicts 6 different diseases.
https://github.com/debasish-dutta/disease-predictor
Last synced: 2 months ago
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This repo contains the application which predicts 6 different diseases.
- Host: GitHub
- URL: https://github.com/debasish-dutta/disease-predictor
- Owner: debasish-dutta
- License: gpl-3.0
- Created: 2020-12-28T08:33:49.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-06-12T02:56:40.000Z (almost 2 years ago)
- Last Synced: 2025-01-19T07:45:13.771Z (4 months ago)
- Language: HTML
- Homepage: https://disease-predictor.adaptable.app/
- Size: 28.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Disease Predictor
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:
- [Breast Cancer](https://github.com/debasish-dutta/Breast-cancer-prediction)
- [Diabetes](https://github.com/debasish-dutta/Diabetes-prediction)
- [Heart Failure](https://github.com/debasish-dutta/heart-disease-project)
- [Kidney Disease](https://github.com/debasish-dutta/Kidney-disease-prediction)
- [Liver Disease](https://github.com/debasish-dutta/Liver-disease-prediction)
- [Lung Cancer](https://github.com/debasish-dutta/Lung-cancer-prediction)
## Features
- 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.
## Demo
You can access a live demo of the web app at [here](https://disease-predictor.adaptable.app/).
## Installation
To run the web app locally, follow these steps:
1. Clone the repository: git clone https://github.com/debasish-dutta/disease-predictor.git
2. Install the required dependencies: pip install -r requirements.txt
3. Start the Flask development server: python app.py
4. Open a web browser and navigate to http://localhost:5000 to access the web app.
## Contributing
Contributions are welcome! If you want to contribute to this project, please follow these guidelines:
1. Fork the repository and clone it to your local machine.
2. Create a new branch for your feature or bug fix.
3. Make your changes and test thoroughly.
4. Commit your changes with descriptive commit messages.
5. Push your branch to your forked repository.
6. Open a pull request, providing a clear title and description of your changes.
7. Your pull request will be reviewed by the project maintainers. Feedback or suggestions for improvements may be provided.
8. Once approved, your changes will be merged into the main repository.
## License
This project is licensed under the GNU GPL v3.0 License. See the [LICENSE](./LICENSE) for more information.