Once the user enters a text paragraph/sentence or headline of news/rumor, the model simply shows an accurate output if it is Real(tends to 1) or Fake(tends to 0).
The plan is to convert the project into a working API and an extension for web browsers, such that when someone selects the text and click on the extension button, it will highlight the text as fake or not. This can also be used by social media companies, in order to classify news as fake or real, in order to reduce the spread of fake news.
It is built on python 3.9.6 and flask 2.0.1 along with tensorflow 2.6.0. Refer to requirements.txt to see other libraries/packages used.
Are we missing any of your favorite features, which you think you can add to it❓ We invite you to contribute to this project and make it better. To start contributing, follow the below guidelines:
1. Fork this repository.
2. Clone your forked copy of the project.
git clone https://github.com/<your_user_name>/flask-app-with-fakenewsdetection-using-neuralnetworks.git
3. Navigate to the project directory 📁 .
cd flask-app-with-fakenewsdetection-using-neuralnetworks
4. Add a reference(remote) to the original repository.
git remote add upstream https://github.com/gdsc-pdeu/flask-app-with-fakenewsdetection-using-neuralnetworks.git
5. Check the remotes for this repository.
git remote -v
6. Always take a pull from the upstream repository to your master branch to keep it at par with the main project(updated repository).
git pull upstream main
7. Create a new branch.
git checkout -b <your_branch_name>
8. Perfom your desired changes to the code base.
9. Track your changes:heavy_check_mark: .
git add .
10. Commit your changes .
git commit -m "Necessary message"
11. Push the committed changes in your feature branch to your remote repo.
git push -u origin <your_branch_name>
12. To create a pull request, click on compare and pull requests.
13. Add appropriate title and description to your pull request explaining your changes and efforts done.
14. Click on Create a Pull Request.
15 Voila ❗ You have made a PR to the flask-app-with-fakenewsdetection-using-neuralnetworks 💥 . Wait for your submission to be accepted and your PR to be merged.