# Bibek

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Bibek Parajuli](https://cerebralvalley.ai/u/Bibek624)
- **GitHub:** https://github.com/bibek624/roadwatch
- **Demo video:** https://www.youtube.com/watch?v=XVfxFR1nMwg
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/257

RoadWatch is an autonomous multi-agent pavement surveyor that grades road condition at scale using Mapillary street-level imagery — no custom CV model, no windshield survey crew, no $250k engineering contract.

A 3-tier Opus 4.7 hierarchy works like a field crew:

Street Captain (1×) plans the inspection route, dispatches survey teams, synthesizes a corridor narrative
Point Surveyors (up to 3×, parallel) investigate each survey point across all available years — cross-witnessing temporal change
Year Investigators (up to 2× per Surveyor, parallel) examine the same spot from different epochs, sharing claims on a blackboard so siblings can anchor their yaw angles
Peak concurrency: 6 simultaneous Opus 4.7 calls. The discipline gate is deterministic — it inspects the visit log and refuses a grade() call if multi-year coverage exists but only one year was examined.

A SHA-256 collision detector identifies when "multi-year" listings are actually the same image with backdated metadata — surfacing a data integrity problem invisible to any pipeline that trusts timestamps.

The web UI lets a public-works engineer draw a polygon, select streets, watch the agent hierarchy work in real time — cursors walk the block, evidence cards stream in, the map recolors as grades land. One click, ~$5, any street in the world with Mapillary coverage.

Validated: Spring St LA, Chestnut Ventura, SoHo Broadway. Calibrated against LA's published 69,282-segment PCI dataset.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/257. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt