This repository contains the source code for a cancer detection application built using Django for the backend and React for the frontend.

The cancer detection app aims to assist in the early detection of cancer by analyzing patient data. It provides a user-friendly interface for healthcare professionals to input patient information and receive predictions based on machine learning algorithms.

• Patient Management: Add, edit, and delete patient records.
• Data Visualization: Visual representation of patient data for analysis.
• Cancer Prediction: Predictive models to detect cancer based on patient data.

• Backend:
  • Django: Python web framework for building the backend.
  • Django REST Framework: Toolkit for building Web APIs in Django.
  • Python: Programming language used for backend development.
• Frontend:
  • React: JavaScript library for building user interfaces.
  • Axios: Promise-based HTTP client for making requests to the backend.
  • HTML/CSS: Frontend markup and styling.
• Database:
  • SQLite: Lightweight database used for development.
  • (You can mention other databases if you're using something different in production)

To run this project locally, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project directory.
3. Install dependencies for the frontend and backend:

   cd cancer_detection_frontend
   npm install
   cd ../cancer_detection_backend
   pip install -r requirements.txt

4. Start the backend server: python manage.py runserver
5. Start the frontend server: npm start Open your web browser and navigate to http://localhost:3000 to access the application. Contributing Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

Fork the repository. Create a new branch (git checkout -b feature/new-feature). Make your changes. Commit your changes (git commit -am 'Add new feature'). Push to the branch (git push origin feature/new-feature). Create a new pull request. License This project is licensed under the MIT License.

Acknowledgements Acknowledge any third-party libraries, resources, or tutorials used in the project. Give credit to contributors or any individuals who have helped with the project. Contact If you have any questions or suggestions, feel free to contact me at [email protected].