London Design Silver

2025

Rewear: Context-Aware AI Styling with What You Own

Entrant

Xuejiao Liu

Category

User Experience Design (UX) - Best Use of AI & Machine Learning

Client's Name

Country / Region

United States

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 digitization, contextual styling logic, and multimodal input including voice, photo, and text. It promotes sustainable behavior 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.



By encouraging wardrobe reuse and helping users make the most of what they already own, the app supports sustainable fashion habits and reduces fast fashion waste through mindful consumption. It promotes self-expression without constant purchases. Features like capsule planning and reuse prompts align with slow fashion values.

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