Fake Mail Detection System

Overview

The Fake Mail Detection System is a tool designed to detect and filter out fake or fraudulent emails. By using machine learning algorithms and content analysis techniques, this system aims to enhance email security and reduce the risk of phishing and spam.

Features

• Email Classification: Identifies fake emails based on content analysis.
• Spam Filtering: Reduces unwanted and harmful emails.
• Real-Time Analysis: Processes emails as they arrive for immediate detection.

Technologies Used

• Languages: Python, JavaScript
• Libraries: Scikit-learn, TensorFlow
• Frameworks: Flask, Express.js

Installation

1. Clone the repository:

   git clone https://github.com/Gayatrisin123/fake-mail-detection-system.git

2. Navigate to the project directory:

   cd fake-mail-detection-system

3. Install dependencies:

   For Python:

   pip install -r requirements.txt

   For Node.js:

   npm install

4. Set up environment variables (if applicable) in a .env file.

Usage

1. Run the application:

   For Python:

   python app.py

   For Node.js:

   npm start

2. Access the application at http://localhost:3000.

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.

2. Create a new branch:

3. Commit your changes:

   git commit -m 'Add your feature'

4. Push to the branch:

   git push origin feature/your-feature

5. Create a pull request.

Contact

For any questions or support, please contact gayatrisingh9317@gmail.com.

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