AI Stylist App Development

I’m building a stylist app whose heart is an AI engine that delivers Style recommendations based on body measurements. The flow is simple: users enter or scan their key measurements, the model analyses the data and instantly proposes outfits, colours and cuts that flatter their shape. No appointment booking or virtual try-on is needed at this stage—the entire focus is on getting those recommendations right. I’ll supply a basic garment catalogue in CSV; you turn it into a searchable dataset the model can draw from. I’m flexible on stack, though something cross-platform such as Flutter or React Native paired with a Python/TensorFlow back-end is ideal for rapid iteration. Clean, well-commented code and clear documentation are mandatory so I can expand features later. Deliverables: • iOS & Android builds with a smooth onboarding flow for capturing body measurements • Trained AI model that outputs ranked Style recommendations in under two seconds • Lightweight admin interface (web or in-app) for adding new clothing items and tags • Deployment scripts plus a short read-me outlining model retraining steps Acceptance criteria will be a working demo on TestFlight / Google Play Internal Testing that consistently returns accurate, measurement-aware suggestions and renders them in a neat, modern UI. Once that milestone is met, we’ll wrap with a quick knowledge-transfer call and handover of source code and assets.