AI styling project
AURA · Wardrobe
An AI-assisted wardrobe and styling prototype that turns outfit planning into a visual, filterable, and extensible personal closet experience.
The Wardrobe project works as a proof of concept: it takes the messy daily question of “what do I own and what should I wear today?” and translates it into a structured wardrobe interface.
AURA · 衣灵
AI wardrobe assistant
Notes
The live demo below now runs inside cspace, so this work page is part of the final access flow rather than just a project note.
Project highlights
What this project is doing
This is not the full commercial product yet. It is a focused interaction prototype: digitize wardrobe assets first, then connect recommendation signals like weather, mood, occasion, and astrology. The main value is that the interface and product thesis already work; image understanding, tagging, and recommendation logic can be layered in next.
Interface preview
Search intent
FAQ
Is this already a full product?
Not yet. It is closer to a high-fidelity prototype used to validate the direction, interface language, and key interactions.
What is the main product value here?
It turns scattered wardrobe management and outfit decisions into a visual, filterable flow that can later be extended with AI.
What would need to be built next?
The usual next steps are clothing recognition, tagging, wardrobe data structure, and recommendation logic.
Live work preview
Related works
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