Detector: Log Analysis Simplified

Installation:

Clone the Detector repository to your local machine:

git clone https://github.com/seeyou7/PortfolioProject.git

Navigate to the project directory:

• On Windows Laptop: cd LogScanner
• On Mac Laptop: cd mac-logscanner

Activate the virtual environment for Python and Django:

• On Windows: source venv/bin/activate

• On Linux/macOS: source venv/bin/activate

Install the required Python packages including Django:

pip install django

Usage:

Start the Django server to run the backend:

python manage.py runserver

Access http://localhost:8000 in your browser to view the Detector application.

Features

• Friendly and accessible log analysis for users at all levels.
• Simplifies the process of analyzing security logs.
• Developed with Django for a robust backend.
• User-friendly frontend interface for ease of use.

Authors

• Younes SABER - GitHub - Software Engineering Student passionate about new technologies and cybersecurity. LinkedIn

• Saima RIAZ - GitHub - Software Engineering Student with a keen interest in cybersecurity solutions. LinkedIn

Both students at Holberton School Paris, we collaborated on every aspect of this project, from frontend to backend development, to bring Detector to life as part of our portfolio.

Additional Resources

• Final Project Blog Article

Licensing

This project is licensed under the MIT License - see the LICENSE.md file for details.