javaidgithub/threat-track-ai

Threat-Track-AI combines a Streamlit log-analysis interface with staged notebook workflows for preprocessing, anomaly detection, and AI-assisted investigation. The documented flow is log input, preprocessing, detection, AI interpretation, and dashboard presentation. The Streamlit dashboard also posts individual logs to an external API and summarizes uploaded CSVs locally. A separate React UI provides landing, sign-in, sign-up, and dashboard screens; its sampled auth handlers only navigate, so no backend integration is shown there. Notebook internals and the API implementation were not sampled; workflow links reflect README documentation, not verified code calls.