Steezn
AI wardrobe + outfit recommendations with context (weather/activity) and vision-based wardrobe ingestion to digitize your closet.
Overview
A cross-platform mobile fashion product: upload wardrobe items (photos/URLs), get outfit generation with constraints like weather and occasion, and iterate with preference controls.
What I built
- Wardrobe ingestion pipeline (photo + URL) with AI-assisted parsing and categorization
- Outfit generation flow incorporating context signals (weather/activity/season) and preferences
- Resilient service layer (caching/retry patterns) for AI + search calls
Highlights
- AI-driven recommendations with preference controls
- Cross-platform mobile build pipeline