AI-NIDS is an advanced student-built cybersecurity project that uses a Random Forest ML model to detect malicious network traffic from the CIC-IDS dataset. It combines real-time attack simulation, visual analytics, and Explainable AI via Groq LLM to deliver SOC-style, human-readable threat explanations—like a virtual security analyst in action.