Mirror
AIGC Mobile App
Mirror is a mobile app that generates personalized outfit suggestions using AI, tailored to a user’s location, weather, and event context. The goal was to make outfit decision-making effortless, aesthetic, and context-aware—solving a daily pain point through tech and design.
Project Timeline
4 Weeks
Team
Alina (Me)
Lucy (Designer)
KK (Designer)
My Role
UX Design
AI Integration
Visual Prototyping
Tools
Figma
Midjourney
Introduction
As a designer, I bridge AI capabilities with user-centered design. In Mirror, I transformed technical potential into intuitive flows that reflect real-life user contexts. I also guided the team in visualizing AI-generated content within a frictionless mobile experience.
This project reflects my strength in designing intuitive systems that simplify decisions while maintaining beauty and delight.
Problem Statement
Research & Insights
We conducted user interviews and mapped personas & journeys.
Key findings:
Users often feel decision fatigue around daily outfits.
Most apps lack contextual relevance (weather, occasion, mood).
People want both inspiration and trust in AI recommendations.
These insights shaped our decision to integrate geolocation, event-based prompts, and visual storytelling.
UX Process
Design Principles - Usability & Scalability
Clear Information Hierarchy
Dynamic Table Customization
Polished UI components
1. Discover
User interviews with 6 individuals aged 20–35
Affinity mapping to extract core needs: confidence, ease, aesthetics
2. Define
Developed 2 personas: a busy professional and a social student
Mapped scenarios: workdays, dates, travel, special events
3. Ideate
Brainstormed concepts like “Mood-based wardrobe,” “WeatherSync,” and “AI Stylist”
Choose Mirror for its blend of automation + aesthetic curation
Prototype
Built interactive Figma prototypes for:
Onboarding preferences
Daily AI recommendations
Special event outfit suggestions
Used Midjourney for visual lookbooks and mock outfit inspiration
Validate
Conducted usability tests and iterated UI to minimize friction in the outfit selection flow
Users preferred cards + mood board layout over list formats
Key Features
Smart Outfit Generator
Auto-suggests outfits based on weather, event, time of day
AI Visual Lookbook
Dynamic outfit inspirations tailored to user input
Mirror Device Integration (Next Step)
Plan to sync with a smart mirror for real-time outfit display
Impact & Outcome
Translated complex AI logic into a clear, calm UI
Validated with 5 users who reported feeling more inspired and decisive about outfit choices
Designed a customizable experience that respects user control
Key takeaway: Design is not about dazzling visuals—it’s about removing friction from everyday moments.
Iteration & Future
Plan to test with wearable mirror integration
Expand use cases (e.g., travel capsule wardrobe)
Add explainability for AI decisions to build user trust
Why It Matters
Mirror demonstrates how emerging tech like AI can feel personal and human when UX leads the conversation. It’s a small solution to a common problem—but a powerful example of thoughtful interaction design.
Thank you.