📰 AI-Based Fake News Analyzing Browser Extension

📌 Overview

Fake news is a significant issue in today's digital world. Our browser extension leverages AI to analyze and designed to detect and analyze fake news articles in real-time. The extension integrates Natural Language Processing (NLP) and Machine Learning (ML) to assess the credibility of news articles and provide users with a trustworthiness score.

🎯 Key Features

✨ Features

✅ Real-time Fake News Detection – Analyzes web content and assigns a credibility score.
✅ Machine Learning Model – Utilizes a trained Bidirectional LSTM model for classification.
✅ Browser Integration – Works as a Chrome/Firefox extension for seamless browsing.
✅ Interactive UI – Displays warnings and trust scores for news articles.

🛠️ Tech Stack

• Frontend: Vite + React
• Backend: Flask (Python API)
• Machine Learning: TensorFlow, Keras, Bidirectional LSTM
• Data Handling: Pandas, NumPy, NLTK, Scikit-learn

🚀 Installation & Setup

🔧 Prerequisites

Google Chrome or Firefox

Python 3.8+

Pip & Virtual Environment

🛠️ Steps to Install

1️⃣ Clone the Repository

git clone https://github.com/sarvesh123githubacc/TeamX
cd fake-news-extension

2️⃣ Install Backend Dependencies

pip install -r requirements.txt

3️⃣ Train & Save the Model

Run the following script to train the fake news classifier:

python predictions.ipynb

This will generate predictions.pkl in the project folder.

4️⃣ Run the Flask API

python app.py

The API will be available at http://localhost:5000/predict.

5️⃣ Load the Extension in Chrome

1. Open Chrome and go to chrome://extensions/
2. Enable Developer Mode (top-right corner)
3. Click Load Unpacked and select the extension folder.
4. The extension is now ready to use!

📌 How It Works

🎥 Demo Video 📌 [https://drive.google.com/file/d/1tpLe3GoQFMWZLBBP5Pezq8f8ZHZ48iWX/view]

🤝 Contributing

Want to improve this project? Follow these steps:

1. Fork the repository
2. Create a new branch

   git checkout -b feature-branch

3. Commit your changes

   git commit -m "Added a new feature"

4. Push to your branch

   git push origin feature-branch

5. Open a Pull Request 🚀

🔗 Future Enhancements

• ✅ Deploy the Flask API online (e.g., Render, AWS, Hugging Face Spaces)
• ✅ Improve model accuracy
• ✅ Add Fact-checking API integration (Snopes, Google Fact Check)
• ✅ Build a Firefox version of the extension

📜 License

📄 This project is licensed under the MIT License.

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🚀 Developed by [TeamX] for FOSS Hack 2025 🚀