Fashion Frame
An AI personal stylist and digital wardrobe for the clothes you already own — outfit ideas, occasion-based styling, and virtual try-on. Live at myfashionframe.com.
- Powered styling
- AI
- Step workflow
- 4
- myfashionframe.com
- Live
Overview
Personal AI stylist. An AI-powered app that helps users create outfits using their own wardrobe — now live at myfashionframe.com.
A mobile-first app that turns a photographed closet into structured wardrobe data, then uses AI to propose outfits for real life—work, weekends, and events—while learning from what you save, skip, or rate. The goal is practical daily use, not generic lookbooks.
Problem
People don’t know how to style the clothes they already own.
Solution
AI suggests outfits based on the user’s real wardrobe and preferences.
How it works
From closet to confident looks in four steps.
- Upload or scan clothes. Add pieces with photos or camera capture.
- AI organizes wardrobe. Sorted by category, color, and season.
- Get outfit recommendations. Tailored to you—not a generic catalog.
- Preview outfits. See combinations before you get dressed.
Features
Everything you need for daily styling, in one calm interface.
- AI outfit generation. Fresh looks from pieces you already own.
- Smart wardrobe organization. Structured closet data the model can reason over.
- Occasion-based styling. Work, weekend, events—context-aware suggestions.
- Style learning over time. Recommendations improve as you save and skip looks.
- Virtual try-on (optional). Visualize fits digitally when you want an extra nudge.
What makes it unique
- Real wardrobe first — not one-size outfits from a generic catalog.
- Learns your personal style from saves, skips, and feedback.
- Built for everyday use — quick decisions on busy mornings.
Future vision
A focused roadmap for what comes next:
- AI stylist chat
- Social features
- Feedback-based recommendations
- E-commerce integration
Concept tech stack
The stack sketched for the original concept — API-first, mobile clients, and retrieval-friendly wardrobe data: TypeScript, React Native, Python, FastAPI, PostgreSQL with pgvector, the OpenAI API, Redis, AWS, and Figma.
Try it
Fashion Frame is live. Build your digital wardrobe and get outfit ideas at myfashionframe.com — feedback and collaboration are welcome.