# SplatSwarm

- **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:** [Mohul Shukla](https://cerebralvalley.ai/u/mohulshukla), [Steve Kuo](https://cerebralvalley.ai/u/stevedusty), [Umar Ghani](https://cerebralvalley.ai/u/UmarGhani), [Sanjay Marathe](https://cerebralvalley.ai/u/itsmesmarathe)
- **GitHub:** https://github.com/Steve-Dusty/drone-swarms
- **Demo video:** https://www.youtube.com/watch?v=TtrOXJIfPUs
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/23

SplatSwarm is a terrain-aware autonomous drone swarm mission rehearsal engine that lets commanders stress-test missions before any drone leaves the ground. Operators inject real battlefield failures such as GPS jamming, comms blackout, mid-mission drone losses, and watch the swarm adapt in real time over photorealistic satellite terrain. Every drone movement, sensor event, and human kill chain approval is logged immutably to Palantir Foundry, generating the ground truth dataset that trains reinforcement learning models for smarter, more resilient future missions. Same hardware, better software, zero surprises over the target because the drones have already seen every possible scenario.

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Markdown version of https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/23. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt