https://github.com/izam-mohammed/fake-news-detection

Fake News Detection End to End project with deployment 🔥. distinguishes between authentic and fake news, contributing to media credibility. 🚀
https://github.com/izam-mohammed/fake-news-detection

classification data-science fake-news-detection machine-learning

Last synced: 4 days ago
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Fake News Detection End to End project with deployment 🔥. distinguishes between authentic and fake news, contributing to media credibility. 🚀

• Host: GitHub
• URL: https://github.com/izam-mohammed/fake-news-detection
• Owner: izam-mohammed
• License: mit
• Created: 2023-12-14T04:57:13.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2023-12-16T17:12:48.000Z (11 months ago)
• Last Synced: 2024-05-01T23:37:11.312Z (7 months ago)
• Topics: classification, data-science, fake-news-detection, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 15.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

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README

        


# FakeNewsDetection























![PyPI v0.5](https://img.shields.io/badge/PyPI-v0.5-blue.svg)

![MIT License](https://img.shields.io/badge/License-MIT-lightgray.svg)

![build](https://img.shields.io/badge/Build-passing-green.svg)

Arepositoryfordetectwhetherthenewisfakeornot

### Workflows

1. Update config.yaml

2. Update schema.yaml

3. Update params.yaml

4. Update the entity

5. Update the configuration manager in src config

6. Update the components

7. Update the pipeline 

8. Update the main.py

9. Update the app.py

## Contributing

Contributions are welcome! If you'd like to contribute to the project, feel free to submit issues or pull requests. Please ensure your contributions align with the project's coding standards and guidelines.

## Repository Code Formatting

This repository follows a consistent code formatting approach to enhance readability and maintainability.

### Python Files

Python files in this repository are formatted using [Black](https://github.com/psf/black). Black is an opinionated code formatter that automatically formats your Python code to adhere to the PEP 8 style guide.

To ensure that your Python code is formatted correctly, you can install Black and format the code by running the following command in your terminal:

```bash

pip install black

black .

```

### HTML Files

HTML files in this repository are formatted using [Prettier](https://prettier.io/). Prettier is a code formatter that supports multiple languages, including HTML.

## License

This project is licensed under the [MIT License](LICENSE).

## Acknowledgements

- The project utilizes the [Django Framework](https://www.djangoproject.com/) for web development.

- UI styling is based on [Bootstrap](https://getbootstrap.com/) for a responsive design.

- Icons are provided by [Font Awesome](https://fontawesome.com/).

---

Feel free to customize this `README.md` template to suit your project's specific details and add any additional sections you find relevant.

*Thanks !*