Business Problem & Solution

A listing's photos are its first impression and a common fraud vector — recycled stock, the same image reused across listings, or pictures that don't match what's advertised. Photo & Content Verification runs each uploaded photo through a simulated visual check (quality, duplicate, mismatch) against an owner-set policy, and routes it to approve, flag, or reject before it reaches the public gallery.

It proves the verification gate: a seeded asset carries deterministic signals, the metered vision stage reads them against the policy, and the owner's decision writes the verification state the gallery and trust analytics read. It simplifies the vision model itself — in the prototype the check is a deterministic simulation over seeded signals — and uses only illustrated placeholder tiles with synthetic captions, never real or copyrighted imagery. Figures shown are representative and labelled.