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An installable web app where a shopper uploads a photo of their own room, picks an item from the catalog, places it in true perspective and gets a photorealistic rendering of that item in that room, with an admin area for the catalog, per-use-case model choice and a small content module.

What ports as-is

  • The browser canvas renderer (bilinear warp with Newton iteration for the inverse mapping)
  • Corner-handle and body-drag placement
  • Floor and wall modes
  • Rotation and drop shadows
  • Anchor-based calibration for true-to-scale size
  • The .NET 10 catalog and AI API
  • A vision room-analysis step returning vanishing point and a wall-suitability verdict with a graceful default
  • A room-analysis cache
  • A placement quality-assurance loop that scores each generated image and feeds rejection reasons into the next attempt's prompt
  • An admin-configurable model registry
  • A PWA shell
  • CI pipelines and an end-to-end suite

What we build for you

  • The catalog itself (records, texture images, real-world dimensions) and the default room-size calibration for the category
  • Brand skin and a voice guide for UI copy
  • Sample room photos
  • Model selection and keys
  • Social cards
  • Domain
  • Slot and database

The perspective math, the QA loop and the admin area are configuration.