stylewise:Pick
AI-powered outfit coordination platform using color theory and personalized style matching.
Overview
StyleWise : Pick is a capstone project that reimagines outfit coordination through AI. The app helps users make smarter fashion decisions by scanning their existing wardrobe or shopping finds and offering intelligent pairing suggestions — powered by color theory and personal style preferences.
Team
Myself (UI/UX Designer)
Mentorship-based capstone with individual research ownership
My Role
User Research / Persona Development / Visual Design / Prototyping
- Conducted surveys and interviews to extract pain points
- Created user personas & journey maps
- Built mid-to-high fidelity prototypes in Figma
- Iterated based on testing feedback
- Designed visual identity and UI components
Research Insights
"I usually go for what feels comfortable… but it’d be nice to look a little more put-together.”
- AI Color Matching - Recommends outfits based on color theory and wardrobe data
- On-the-Go Suggestions - Scan clothing to instantly receive coordination ideas
- Integrated Shopping - Links to online stores for seamless purchase of missing items
- Style Confidence - Encourages experimentation and self-expression
Research Summary
- User Behavior Insight - Online shoppers primarily prioritize size and comfort, often resulting in returns due to poor fit.
- Identified Gap - Surprisingly, most users overlook color as a key decision factor.
- Proposed Solution - StyleWise introduces AI-powered color coordination to improve outfit selection and elevate styling confidence.
- Future Vision - 3D modeling and body shape personalization will allow virtual try-ons, empowering users to rediscover joy and self-expression post body changes (e.g. postpartum).
Persona
Created to represent common user mindsets and guide early feature prioritization.
Tools
Figma / Figjam / Illustrator