Fake News Detector

A web application that utilizes machine learning to detect fake news articles.

Features

• User Input: Submit news articles for analysis.
• Real-time Prediction: Get instant results indicating whether the news is "Fake" or "True".
• User-Friendly Interface: Interactive and easy-to-use web design.
• Docker Support: Deploy the application seamlessly using Docker.
• Machine Learning Model: Uses a pre-trained model to detect fake news.

Installation

1. Clone the Repository

git clone https://github.com/pq36/Fake_news_detector.git
cd Fake_news_detector

2. Set Up a Virtual Environment (optional but recommended)

python3 -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install Dependencies

pip install -r requirements.txt

Usage

Run the Application Locally

python app.py

Access the Web Interface

Open your browser and navigate to:
👉 http://127.0.0.1:8080/

Submit an Article for Analysis

1. Paste the news article text into the provided text area.
2. Click the "Check News" button to analyze.

View Results

• The application will display whether the submitted news is "Fake" or "True".

Docker Deployment

To deploy the application using Docker:

1. Build the Docker Image

docker build -t fake_news_detector .

2. Run the Docker Container

docker run -d -p 8080:80 --name flask-container fake_news_detector

Project Structure

Fake_news_detector/
│-- app.py               # Main Flask application
│-- model.pkl            # Pre-trained ML model for fake news detection
│-- requirements.txt     # List of dependencies
│-- Dockerfile          # Docker build instructions
│-- templates/          # HTML templates for UI
│-- static/             # Static files (CSS, JS, images)

Contributing

Contributions are welcome! If you'd like to improve this project:

1. Fork the repository.
2. Create a new branch.
3. Make your changes and submit a pull request.

For any questions or suggestions, feel free to open an issue.

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🚀 Happy Coding!