Abhish7k / fake-news-backend

Fake News Detection

Fake News Detection is a web application built with Flask that aims to classify news articles as either real or fake using machine learning techniques.

Installation

To run the Fake News Detection application locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/fake-news-detection.git

2. Navigate to the project directory:

   cd fake-news-detection

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

Once you have installed the dependencies, you can run the Flask application using the following command:

python app.py

This will start the server locally, and you can access the application in your web browser at http://127.0.0.1:5000.

API Endpoint

The Fake News Detection application provides a simple API endpoint for classifying news articles. You can send a POST request to /detect with a JSON payload containing the news article text, and the API will return whether the article is classified as "Fake" or "Real".

Example:

curl -X POST http://127.0.0.1:5000/detect -H "Content-Type: application/json" -d '{"article": "This is a fake news article."}'

Response:

{
  "result": "Fake"
}

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.