I’m building a cross-channel experience that lets shoppers see how hats, jewelry, and watches look on them in real time. I need an end-to-end virtual try-on solution that works seamlessly on both my website (React front-end) and the companion iOS/Android apps (Flutter). The core of the project is an AI model that can: • detect facial features, wrists, and head shape with high accuracy • render the selected accessory in the correct scale, angle, and lighting • support multiple SKUs per category without manual re-training Key expectations • Web component and mobile SDK share a single inference pipeline (TensorFlow Lite or similar) • Latency under one second on recent mobile devices • Simple API for adding new products: upload PNG + 3D metadata, press publish • Source code, model weights, and brief technical documentation delivered in a private repo I’ll provide sample product assets and can spin up any required cloud services. Once the demo scene is approved, we’ll move to full catalogue integration and a short pilot with live users before sign-off.