Case Study
Drape — AI Personal Stylist
Upload a photo, get 3 outfit recommendations with real brands and prices
3
Outfit recommendations per session
0 bytes
Image data stored
RAM-only
Privacy-first architecture
PROBLEM
The Challenge
Personal styling is either expensive (human stylist) or generic (quiz-based apps that ignore body type and skin tone). No tool could look at an actual photo, understand body proportions and coloring, and recommend real, shoppable outfits — until now.
SOLUTION
What We Built
ARIA (AI Recommendation & Image Analyst) — upload a photo, choose an occasion, and Claude Vision analyzes body type and skin tone to return 3 complete outfit recommendations with real brands, real prices, and direct shopping links. Privacy-first architecture: Multer with memoryStorage processes images in RAM only — nothing is ever written to disk or database. Sharp handles image preprocessing. Auth via Supabase (session logs only, no image data).
OUTCOME
The Result
Live at get-drape.com. Zero image storage architecture — no photos ever touch the database. Claude Vision delivers analysis in seconds. Supabase Auth with session tracking only. Deployed on Vercel (frontend) and Railway (Express API). The privacy-first design is a core product differentiator.
Tech Stack
Want something like this for your business?
Work With Us