TIMS: Thermal Intelligence & Monitoring System

Combines NASA FIRMS satellite data, OpenStreetMap context and machine learning to detect and classify thermal hotspots. Tracks persistent sources and presents risk indicators and alerts through an interactive dashboard.

We are solving the problem of detecting and classifying thermal hotspots from satellite data, especially identifying industrial fires and thermal source and providing timely alerts

Our solution combines NASA FIRMS satellite data, OpenStreetMap data, and Machine Learning to detect and classify thermal hotspots. It identifies whether a hotspot is likely an industrial fire, wildfire, agricultural burning, or another thermal source. We also track persistent hotspots over time, calculate a risk/confidence score, and show everything on an interactive dashboard with alerts.

Claude code

Built with Claude Code, as stated in the submission.