TryOn — AI Virtual Clothing Try-On

A published iOS app that lets users photograph any garment and generates a photorealistic image of themselves wearing it — built end-to-end from React Native frontend to Node.js backend.

React NativeExpoNode.jsxAI Grok ImagineAWS S3StoreKitPostgreSQL

Download TryOn on the App Store

Industry

Consumer / Retail Tech

Engagement

Build & Deploy

Status

Live in production

// Problem

The challenge

Online clothing buyers can't reliably picture how an item will look on them. Existing AR try-on tools require pre-loaded 3D garment assets, which limits selection to a handful of partner brands. The goal: let any user photograph any real garment — from any source — and see themselves wearing it, in seconds.

// Solution

What we built

A cross-platform iOS app (React Native + Expo) with a Node.js backend that orchestrates body and garment photo capture, image preprocessing, and inference through xAI's Grok Imagine model. Generated images are stored in S3 with signed URL access, and a social feed lets users browse, like, and share results.

End-to-end onboarding, sign-up, and KYC photo capture flow
StoreKit-based credits and subscription tiers
Image moderation pipeline before public posting
Server-side queue with retry and fallback handling

// Outcome

Results

Live on the App Store. Real users — including those without traditional retail body types — are getting visualization results that influence purchase decisions. The architecture supports hundreds of concurrent generations with predictable per-image cost.

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