Closet AI Ñemuha Jey Ñemu Renda Ruoxuan Pan, Junjie Tang and Huixiang Chen omba'apóva

Closet AI Ñemuha Jey Ñemu Renda Ruoxuan Pan, Junjie Tang and Huixiang Chen omba'apóva ha'e rembiporuarã oñemba'eguaséva 2026 A' Design Award Fiero pegua Celular Jejapo Ñeha'ã Categoría-pe.

FieroCelular· 2026

Closet AI Ñemuha Jey Ñemu Renda

Ruoxuan Pan, Junjie Tang and Huixiang Chen -gua

A' Design Award Fiero Rembiporuarã Celular Categoría-pe

6,336

Premio Rembiporuarã Oñemoneĩva

Emoneĩ Premio Reko #182338 Peg̃ua

Ehecha A' Design Award-pe Marandu Myasãi Mba'ete Jeguerohory

Sa'y

Diseño

Closet AI Ñemuha Jey Ñemu Renda Rehegua

Closet AI ha'e peteĩ plataforma pumbyrýpe g̃uarã ojeporúva ao ojeporúma va'ekue ñemu jeýpe g̃uarã. Umi oiporúva omoĩ ta'anga ao rehegua, ha pe aplicación omoheñói umi categoría, ñemombe'u ha tepy oñeikotevẽva umi mba'ekuaarã ñemu jey reheguágui. Oñeñemongeta jave tepy rehe, pe sistema ombosako'i ñembohovái ikatúva umi oiporúva omoambue térã omoneĩ, upéicha pe ñemuhára voi odecidi ipahaite peve. Peteĩ sistema jopói rehegua ohechauka ñemotenondekue umi tembiaporã, jopoirã ha jehupytyrã rupive. Ko plataforma ojejapo ojeikuaaporã rire mba'éichapa umi tapicha oñemu jey. Hembipota ha'e omomichĩ pe ára ha ñeha'ã omokangýva tapichakuérape oike hag̃ua pe moda circular-pe.

Jeguerohory

A' Design Award Fiero Rehegua

Closet AI Ñemuha Jey Ñemu Renda ohupyty A' Design Award Fiero, peteĩ ñehechakuaa prestigioso oñeme'ẽva diseño iporã-pe ohupytýva requisito profesional ha industrial oñeha'ãrõva creación iporã oñemoĩva-gui. Umi ganador Fiero ohechauka habilidad guasu, especialización yvate, comprensión experta ha capacidad creativa umi creador rehegua. Oñeha'ãrõ Closet AI Ñemuha Jey Ñemu Renda ha'eha creación ojehayhúva, admirada ha estimada, práctica ha innovadora. Ko diseño ohupytýva A' Design Award Fiero ombojoaju mejor práctica industria rehegua ha oguereko característica técnica competente ojoajúva conocimiento ha talento ndive. Closet AI Ñemuha Jey Ñemu Renda oñerespeta hembiapo cuidadoso rupi ha oñemoĩ ome'ẽ hag̃ua mejora calidad de vida rehegua oipytyvõva yvy ape iporãve hag̃ua.

Diseño Rapykuéri

Marandu Aty

Diseñador ome'ẽva'ekue crédito, aty pegua ha mba'e técnico.

Mba'e Iñambuéva: Closet AI is an AI powered resale platform designed to remove friction from circular fashion. It automates listing creation, pricing suggestions and negotiation support, transforming second hand selling into a streamlined experience. By integrating intelligent automation with a reward system that tracks impact and milestones, Closet AI reduces emotional barriers and encourages sustainable participation, making fashion circulation measurable and efficient.
Tuichakue ha Ñemyenyhẽ: Closet AI is a mobile first digital platform prototyped in Figma at 402 x 874 pixels aligned with iPhone interface standards. The system follows a modular and scalable architecture supporting real time feedback and adaptive interaction flows. A structured design system ensures visual consistency accessibility compliance and responsive layout behavior across future multi platform extensions.
Ñe'ẽ Rape: AI powered resale platform, UX/UI design, circular fashion system, sustainable commerce design, intelligent negotiation support, automated listing generation, user centered interaction design, behavioral incentive system, mobile marketplace experience, fashion sustainability innovation
Ñeapopy Tecnología: Closet AI was developed through a human centered design process informed by user research and resale behavior analysis. Insights into pricing uncertainty and negotiation stress shaped the interaction framework. Computer vision, natural language generation and data driven recommendations were integrated as supportive technologies. Iterative prototyping refined the system into an assisted workflow that reduces cognitive load while preserving user agency.
Diseño Jepy'apy: The major challenge was balancing automation with user autonomy. Fully automated systems risk removing agency, while manual systems maintain friction. Closet AI introduces assisted intelligence, where AI drafts and recommends actions but users retain final control. Another challenge was integrating sustainability incentives without overwhelming users. The solution implements subtle impact indicators and milestone badges that reinforce behavior without creating gamified complexity.
Ñesẽheka: Type of Research: Qualitative behavioral research and workflow analysis. Research Objectives: To identify barriers preventing users from participating in clothing resale despite sustainability awareness. Methodology: User interviews journey mapping and competitive benchmarking. Data Collection: Structured interviews usability testing and prototyping. Participants: Gen Z and Millennial users. Results: Identified negotiation fatigue and listing complexity as key friction points. Insights and Impact: Automation reduces participation barriers and supports circular fashion adoption.
Inspiración: Closet AI was inspired by the gap between sustainable intention and practical behavior. While many Gen Z and Millennial users want to reduce waste, resale platforms often demand time and effort. Listing creation, price negotiation and cross platform management introduce friction that discourages participation. The project explores how artificial intelligence can reduce this friction and connect resale with meaningful environmental impact.
Proyecto Ára Tuichakue: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Mba'apo Rape: Users upload clothing images to generate automatic categories, descriptions, and smart pricing suggestions based on resale data. They publish listings, track engagement insights, and receive recommendations such as price adjustments or repost timing. Users complete quests, earn badges, and unlock milestones as they list, optimize, and close deals. During negotiations, AI drafts reply suggestions that users can edit or approve, keeping full control.
Aty Rembiguái: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Ta'ãnga Mba'eñemoneĩ: Main Image: Creator Junjie Tang, Huixiang Chen, Closet AI Home page and Swipe flow, 2026
Image #1: Creator Huixiang Chen, Item Scan, Item Swipe and Select, Item Editing, and Item Posting page, 2026
Image #2: Creator Ruoxuan Pan, AI listing and message assistant flow, 2026
Image #3: Creator Junjie Tang, reward and badge pages, 2026
Image #4: Creator Ruoxuan Pan, Huixiang Chen, Junjie Tang, Closet AI interface overview, 2026