Spam-shield

Spam-shield is a machine-learning-powered Spam Detector for email and SMS messages. This tool analyzes messages to identify spam using various machine learning algorithms.

Features

• Spam detection for emails and SMS.
• Multi-channel analysis.
• Machine learning algorithms for improved accuracy.
• Easy-to-use web interface.

Tech Stack

• Python (21.9%)
• HTML (37.7%)
• CSS (33.7%)
• JavaScript (6.7%)

Installation

1. Clone the repository: git clone https://github.com/Neurix-0x1A/Spam-shield.git

2. Navigate to the project directory: cd Spam-Shield-main

3. Install required Python packages: pip install -r requirements.txt

Usage

1. Run the Python script: python spam_detector.py
2. Access the web interface at http://localhost:5000.

Contributing

1. Fork the repository.
2. Create a new branch.
3. Commit and push changes.
4. Create a pull request.

Issues and Support

Submit issues in the GitHub repository.

Contact

For support, email [[email protected]].