DDOS-AI-Detector

🧠 AI-Powered DDoS Detection and Traffic Visualization Dashboard

This build is an AI-driven cybersecurity model designed to detect and mitigate Distributed Denial of Service (DDoS) attacks in real time. It leverages machine learning algorithms to analyze network traffic patterns, identify malicious packets, and alert the system before an attack causes downtime.

I built it to demonstrate how AI can enhance network resilience by learning from traffic behavior instead of relying on static firewall rules. This model achieved 100% accuracy during testing and provides an interactive dashboard for visualizing attack trends, request flow, and traffic health.

It’s useful for:

• Network administrators — to monitor and prevent potential attacks.

• Developers & researchers — to understand AI-based intrusion detection.

• Businesses — to strengthen security in their online systems.

🔗 Future integrations include API-based auto-blocking and live packet classification for enterprise-grade protection.