# patronet-openenv

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Mansi More](https://cerebralvalley.ai/u/mansimore), [Rohit Korrapolu](https://cerebralvalley.ai/u/freddy)
- **GitHub:** https://github.com/rkorrapolu/patronet-openenv
- **Website:** https://colab.research.google.com/drive/1Rp76mNNqTghZtDo4zrJl1Tk4LQm1xlf6?usp=sharing
- **Demo video:** https://www.loom.com/share/60727d0a07364d23b506895f6841a8e3
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/101

Patronet OpenEnv trains AI agents for critical emergencies like fires, wars, and disasters. It simulates high-stakes scenarios, teaching AI to triage victims and dispatch the right responders within a strict 20-step decision window.

Using OpenEnv and TRL’s GRPOTrainer, the system learns from diverse crisis paths, improving guidance, coordination, and communication. Packaged as a Docker FastAPI microservice with a visual simulation, it shows how AI decisions can save lives. Patronet OpenEnv equips governments and emergency agencies to respond faster and smarter when every second counts.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/101. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt