Cyber Threat Detection and Response System (ML)

Built an ML/DL-based Intrusion Detection System using the UNSW-NB15 dataset, achieving 97.4% accuracy with XGBoost. Integrated the model into a Flask/FastAPI backend with a React dashboard for real-time threat monitoring and automated response.