This project is a live network monitoring dashboard that leverages tree-based machine learning algorithms to detect intrusions in real-time. The system uses Flask and Socket.IO for real-time data updates, and Chart.js for data visualization. The dashboard provides various charts to visualize network data and sends notifications for suspicious activ

CLI-based cyber defense tool combining Rule-Based inspection, Machine Learning (SVM/TF-IDF), and T5 NLP for anomalous command and malware detection.

Extracts critical problem data from Houston-based systems

(WIP) Vue frontend for the Wiener Linien display

Real-time dashboard to launch and monitor multi-agent AI missions using CrewAI + Groq. Choose Swarm Research, Feasibility Sprints, or Conference Planning, watch agents collaborate live with streaming timeline, Mermaid graph, token counter, and history.