Awesome

<br /> <p align="center"> <a href="https://github.com/rifkybujana/FND"> <img src="https://i.imgur.com/Wkx9XUI.png" width="180" height="140"> </a> <h3 align="center">FND</h3> <p align="center"> Fake News Detection AI <br /> <a href="https://github.com/rifkybujana/FND/issues">Report Bug</a> · <a href="https://github.com/rifkybujana/FND/issues">Request Feature</a> </p> </p>  <details open="open"> <summary><h2 style="display: inline-block">Table of Contents</h2></summary> <ol> <li> <a href="#about-the-project">About The Project</a> <ul> <li><a href="#built-with">Built With</a></li> </ul> </li> <li> <a href="#getting-started">Getting Started</a> <ul> <li><a href="#prerequisites">Prerequisites</a></li> <li><a href="#installation">Installation</a></li> </ul> </li> <li><a href="#usage">Usage</a></li> <li><a href="#roadmap">Roadmap</a></li> <li><a href="#contributing">Contributing</a></li> <li><a href="#license">License</a></li> <li><a href="#contact">Contact</a></li> <li><a href="#acknowledgements">Acknowledgements</a></li> </ol> </details>

About The Project

FND is a machine learning project that were made to predict whether a news is fake or not. This project are using IndoBERT model trained by IndoLEM Team and fine-tuned on 3 different indonesian fake news dataset source with total 2220 news. And get 86.7% Validation Accuracy with 0.25 Validation Loss.

How to use it

Built With

Getting Started

To get a local copy up and running follow these simple steps.

Installation

Clone the repo

$ git clone https://github.com/rifkybujana/FND.git

Install the required package
```
$ python setup.py install
```

Usage

<small>Note: CLI Support comming soon</small>

$ streamlit run App.py

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

Fork the Project
Create your Feature Branch (git checkout -b feature/AmazingFeature)
Commit your Changes (git commit -m 'Add some AmazingFeature')
Push to the Branch (git push origin feature/AmazingFeature)
Open a Pull Request

License

Distributed under the GPL-3.0 License. See LICENSE for more information.

Contact

Rifky Bujana Bisri - @rifkybujanabisri - rifkybujanabisri@gmail.com
Aikyo Dzaki Aroef - @aikibot - aikyodzakiaroef@gmail.com

Project Link: https://github.com/rifkybujana/FND

Acknowledgements

Special Thanks to Intel, Orbit Future Academy and Indonesian Ministry of Education and Culture for holding AI For Youth Indonesia, because without it we can't make this project real or even we won't know anything about machine learning.