# Jaiaaryan

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Jaiganesh Srinivasan](https://cerebralvalley.ai/u/Jaiaaryan)
- **GitHub:** https://github.com/Jaiaaryan/OCTB
- **Demo video:** https://youtu.be/IGHZtwAKt3w
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/134

WHAT WE BUILT
• OCTB (Optical Compatibility Test Bench) — try a camera/lens/light swap in
  software before buying hardware, and prove the instrument still gives the
  same answer.
• It simulates how the new hardware forms the image, runs the ORIGINAL legacy
  analysis algorithm unchanged, and checks the decision is preserved (same
  grade, successful decode, metric in tolerance).
• Every value is provenance-tagged; the legacy grader is byte-frozen and
  hash-verified so its verdict can't drift.

WHAT WE FOUND
• A hardware swap can SILENTLY change the answer — the failure is invisible
  until after you've bought the part and re-run real assays.
• Example the app makes obvious: a Red-630nm light turns every color patch red
  and wrecks the grader — caught before a cent is spent.

WHY IT MATTERS
• Legacy machines from the 1990s–2000s still work and produce value, but their
  specific camera/lens/lamp goes end-of-life.
• You can't just drop in a replacement (software was tuned to the old optics),
  and ripping out the system means costly re-engineering + revalidation.
• Today qualifying a part means buy → install → run assays → compare → repeat:
  weeks per candidate on a validated instrument.
• OCTB does the first pass in software: screens the whole market, ranks the few
  parts worth physically testing, and builds the evidence report — without
  touching the trusted legacy system.

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