Chicago, Illinois, USA

This AI-powered outfit assistant suggests daily and travel-ready looks based on the user’s real wardrobe, current weather, and personal style preferences.

The system combines wardrobe digitisation, contextual styling logic, and multimodal input including voice, photo, and text.

Rewear: Context-Aware AI Styling with What You Own by Independent UX Design Team, won a 2025 Good Design Award from The Chicago Athenaeum: Museum of Architecture and Design and European Centre for Architecture, Art, Design, and Urban Studies.

It promotes sustainable behaviour by encouraging wardrobe reuse and mindful consumption, while also supporting accessibility through inclusive design features.

The app is designed for users who struggle when choosing what to wear—especially when factoring in weather, occasions, or personal style.

Many have full wardrobes but find it hard to style older or forgotten pieces. Decision fatigue and lack of inspiration lead to repeated looks and underused clothing.

The app aims to reduce mental effort, provide outfit inspiration, and promote creative reuse of items people already own.

Project: Rewear: Context-Aware AI Styling with What You Own
Designers: Xuejiao Liu, Amo (Mengying) Zeng, Bingyi Liu, Independent UX Design Team
Manufacturer: Independent UX Design Team