Online clothing returns cost the industry over $816 billion a year. The root cause is simple: shoppers can't see how clothes look on their body before buying. We built StyleSense to fix that — an AI-powered virtual wardrobe where you upload a selfie, add clothes from any product URL, and instantly see yourself wearing them.
Here's how we built it, and why Amazon Aurora PostgreSQL and Vercel were the right choices for this hackathon build.
The Stack
Frontend: Next.js 14 App Router + TypeScript + Tailwind CSS, deployed on Vercel
Backend: FastAPI (Python 3.12) with 50+ REST endpoints
