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-# PlotaFakeNews
+[![Build Status](https://codefirst.iut.uca.fr/api/badges/PyPloteam/PlotaFakeNews/status.svg)](https://codefirst.iut.uca.fr/PyPloteam/PlotaFakeNews)
 
-Run : 
-``pip install -r requirements.txt``
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+### Built with
+
+![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
+![Django](https://img.shields.io/badge/django-%23092E20.svg?style=for-the-badge&logo=django&logoColor=white)
+![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white)
+
+# Fake News Detector
+
+## Getting started
+
+Clone repo:
+
+```shell
+git clone https://codefirst.iut.uca.fr/git/PyPloteam/PlotaFakeNews.git
+```
+
+Install requirements using:
+
+```shell
+pip install -r requirements.txt
+```
+
+## Training script
+
+```shell
+cd src/
+```
+
+```shell
+python3 main.py
+```
+
+## Launch web app
+
+```shell
+cd src/app/
+```
+
+```shell
+python3 manage.py runserver
+```
+
+## Dataset informations
+
+[FakeNews Dataset](https://www.kaggle.com/datasets/algord/fake-news)
+
+| **title** | **news_url** | **source_domain** | _tweet_num_ | **real** |
+|---|---|---|---|---|
+| title of the article | URL of the article | web domain where article was posted | _number of retweets for this article_ | 1 is real and 0 is fake |
+
+_(N.B. Italic columns are not used for learning models)_
+
+## References
+
+- [scikit-learn models](https://scikit-learn.org/stable/supervised_learning.html)
+
+- [Label encoder _with scikit-learn_](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html)
+
+- [Django documentation](https://www.djangoproject.com/en/5.0/)
+
+## Authors
+
+[LIVET Hugo](https://codefirst.iut.uca.fr/git/hugo.livet)
+
+[DE LA FUENTE Axel](https://codefirst.iut.uca.fr/git/axel.de_la_fuente)
+
+## Acknowledgements
+
+Thanks to our professor for his guidance and feedback throughout the development of this project.
+
+- SAMIR Chafik
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