# Gundo

- **Event:** [National Security Hackathon (by Army xTech)](https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon)
- **When:** May 2 at 9:00 AM – May 3 at 4:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Ethan Lam](https://cerebralvalley.ai/u/ethanmlam), [Jacob Quisumbing](https://cerebralvalley.ai/u/jacobq)
- **GitHub:** https://github.com/ethanmlam/gundooo
- **Demo video:** https://youtu.be/OCDcDUJsYbs
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/26

Gundo is a maritime sensor allocation watch terminal. Last January, 140 vessels went dark off Long Beach. Gundo triages every dark event by duration, behavior, and flag state, ranks them by threat score, classifies vessel intent, predicts the most likely position using a particle filter with 90% confidence bounds, and recommends which sensor to task to collapse the search area. Built on real AIS data from NOAA, Baysian inference, and entropy-based sensor optimization.

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Markdown version of https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/26. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt