AI Wardrobe · One Day Hackathon MVP
Giysem
Giysem turns clothing photos into a digital wardrobe, ranks combinations using color harmony, creates personal virtual try-ons and records outfits on a calendar. The working product was built and submitted between 08:00 and 19:00 in one day.
01 · The problem
Why it exists
People own clothes but still struggle to see useful combinations across a real wardrobe. A helpful product needs to understand garments, rank combinations deterministically and show the result on the person without making the workflow feel technical.
02 · Ownership
What I built
I built the product concept, visual identity, interface, garment workflow, color analysis, recommendation logic and virtual try-on experience during the hackathon.
03 · System
How it works
Vision extracts garment attributes and colors, deterministic harmony logic ranks compatible combinations and a virtual try-on layer visualizes the outfit. The wardrobe and calendar make recommendations reusable after the first session.
04 · Evidence
What is proven
- Working MVP built in one day
- Vision based garment color extraction
- Deterministic harmony ranking
- Personal virtual try-on
- Wardrobe and outfit calendar