Project Overview
Led a team of 4 developers in creating a machine learning platform for detecting various web attacks with high accuracy.
Key Features
- 90% accuracy in attack detection
- Real-time threat monitoring
- Multiple attack vector detection
- User-friendly web interface
Technical Stack
- Python/Scikit-learn for ML models
- Random Forest, XGBoost, KNN algorithms
- Flask-based web interface
- Comprehensive testing framework