Jewelry AI Try-On Integration

I’m ready to upgrade my site with an AI-powered try-on experience dedicated to jewelry. Visitors should be able to pick a piece, see it appear realistically on their hand, wrist, neck, or ear, spin to different viewing angles, and tweak the on-screen size until it feels perfect.

Core requirements
• Virtual size adjustment that responds instantly as the user drags or enters measurements.
• Smooth rotation / multiple viewing angles so the item can be examined just as it would be in a store mirror.

I already handle product photos, variants, and checkout on the current stack; what’s missing is the real-time try-on layer. Whether you rely on WebAR, Three.js, MediaPipe, TensorFlow, or a framework you trust, the end result must load quickly in modern browsers and on iOS / Android without an app download.

Deliverables
– Embedded try-on component (HTML/JS/CSS or React module) ready to drop into my product page template
– Clear setup notes and any server or cloud functions required for model hosting
– One short screen-capture demo proving size adjustment and angle switching work on both desktop and mobile

If you have a tested pipeline for jewelry AR or computer-vision fit tech, let’s discuss timelines and any asset guidelines you’ll need from me.