Signet is an autonomous system built in Go that integrates satellite, weather, terrain, and population data to monitor and track wildfires. It uses a combination of deterministic data processing and Gemini LLM orchestration to assess fire detections, make predictions, and generate structured incident reports. The project aims to automate a currently manual process, though it still faces challenges with false positives and latency.
Background
Wildfire monitoring traditionally relies on manual analysis of disparate data sources including satellite thermal detection, weather forecasts, and terrain models. Recent advances in LLMs and data integration techniques have created opportunities to automate this process.
- Source
- Hacker News (RSS)
- Published
- Mar 15, 2026 at 08:01 PM
- Score
- 7.0 / 10