# ClearSwath

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Hunter Hagedorn](https://cerebralvalley.ai/u/blind05)
- **GitHub:** https://github.com/blind05/clearswath
- **Demo video:** https://youtu.be/n5AgjRHAWD8
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3823

On a 24.1-acre Montana block, ClearSwath marks 9.7 acres to spray: only where a drone weed map found leafy spurge and no label rule holds the spot back. I grew up on a South Dakota farm, where every spray job starts with a pesticide label: dozens of pages of setbacks, wind limits and rates that no sprayer reads for you.

Give it a field, the label PDF and a weed map. Muse Spark reads the label into rules, each carrying its exact sentence; code checks that sentence is on the page and drops any rule whose quote isn't (the plan lists it as not applied). Click any held-back spot on the map and it quotes the sentence and page behind it. Muse Wonder boxes tree lines on the aerial photo for SAM 3.1 to outline (17% of trees found by SAM alone, 62-69% with Wonder, 20 test tiles, three runs). A model trained on Meta's DINOv2 features, on Modal, maps the weeds (90% of held-out spurge plots found, 10% of clean plots flagged). Out come a 1 m spot-spray map and DJI/GeoJSON/KML files that won't build below the label's minimum spray volume. After the job, a spoken note goes through Muse Voice Transcribe and Muse Spark fills the application record, marking anything unsaid as missing; in the video it's my own voice reading a made-up sample job. Live runs read labels with the open-weights Muse Spark Open on Baseten.

The decision (No conflicts in checked rules, Adjust, Do not spray) always comes from tested geometry code, never a model, and the applicator still decides. The demos are saved real runs, recomputed in code when you change anything; the DJI file is a planning file, not flight-tested. Everything was built during the event; third-party parts are listed in the README.

Live demo: https://clearswath.onrender.com

## More from Meta Global AI Developer Hackathon

- [Cristóbal Castrillón](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3820)
- [Collerk](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3821)
- [Your Shoot buddy](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3822)
- [GuardianBees](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3824)
- [Scribsy](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3825)
- [Maximum Impact Digital](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3826)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3823. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt