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Mobile · AI Fashion
Styria
Styria brings intelligent styling directly into the user’s everyday wardrobe. Instead of recommending clothes to buy, the app works with pieces users already own — helping them digitize their closet, organize garments, understand their style preferences, and generate complete outfit combinations tailored to daily context and weather conditions.
FlutterFirebaseAI / LLMWeather APIImage Processing
Outcome
A personalized AI styling experience that reduces outfit decision fatigue and turns an ordinary wardrobe into an intelligent, context-aware fashion assistant.
Challenges
- Turning a physical wardrobe into an organized and intuitive digital closet
- Generating useful outfit combinations using only clothing the user already owns
- Combining personal style preferences, garment attributes, and weather conditions into relevant daily recommendations
- Keeping an AI-driven fashion experience simple enough for everyday use
Approach
- Designed the experience around wardrobe digitization, quick organization, and effortless outfit discovery
- Structured clothing data by category, color, season, and style to improve recommendation quality
- Integrated AI-driven styling logic to generate combinations from the user’s existing wardrobe
- Connected local weather context with outfit generation to make recommendations more practical
- Created a clean, fashion-focused mobile interface that keeps AI assistance approachable and visually simple