Fake News Detection

Description

Fake News Detection is a machine learning project that aims to identify and classify news articles as either "real" or "fake." The model uses Natural Language Processing (NLP) techniques and is trained on a diverse dataset of news articles.

Table of Contents

• Demo
• Technologies Used
• Installation
• Usage
• Data Sources
• Contributing
• License

Demo

You can see a live demo of the Fake News Detection application here.

Technologies Used

• Python
• NLTK (Natural Language Toolkit)
• Scikit-learn
• Flask (for web deployment)
• Heroku (for hosting)
• HTML/CSS (for frontend)

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/mdayanabbas/Fake_News_Detection.git