Closet AI Madal Ganacsi oo Iib-celin ah oo uu sameeyey Ruoxuan Pan, Junjie Tang and Huixiang Chen

Naqshadda Closet AI Madal Ganacsi oo Iib-celin ah oo uu sameeyey Ruoxuan Pan, Junjie Tang and Huixiang Chen waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Tiknoolajiyada Moobiilka, Abikaasyoonada iyo Softweyrka ee 2026 Abaalmarinta Birta ah ee A' Design Award.

BirMoobiil· 2026

Closet AI Madal Ganacsi oo Iib-celin ah

Ruoxuan Pan, Junjie Tang and Huixiang Chen uu sameeyay

Ku Guuleystaha Abaalmarinta Birta ah ee A' Design Award ee Qaybta Moobiil

6,336

Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #182338

Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Closet AI Madal Ganacsi oo Iib-celin ah

Closet AI waa madal iib-celin ah oo taleefanka gacanta lagu isticmaalo oo loogu talagalay dharka la isticmaalay. Isticmaalayaashu waxay soo geliyaan sawirrada dharka, kadibna barnaamijku wuxuu soo saaraa qaybaha, sharraxaadaha iyo qiimayaal la soo jeediyay oo ku salaysan xogta iib-celinta. Inta lagu jiro gorgortanka, nidaamku wuxuu diyaariyaa jawaabo la soo jeediyay oo isticmaaluhu wax ka beddeli karo ama ansixin karo, si go'aannada ugu dambeeya ay gacanta ugu jiraan iibiyaha. Nidaam abaalmarin ah ayaa la socda horumarka iyada oo loo marayo hawlo, calaamado sharaf iyo heerar guul. Madasha waxaa lagu horumariyay cilmi-baaris ku saabsan dhaqanka iib-celinta. Ujeeddadu waa in la yareeyo waqtiga iyo dadaalka niyad-jabiya ka-qaybgalka moodada wareegta ah.

Aqoonsiga

Wax ku saabsan Abaalmarinta Birta ah ee A' Design Award

Closet AI Madal Ganacsi oo Iib-celin ah waa guuleystaha Abaalmarinta Birta ah ee A' Design Award, aqoonsi sharaf leh oo la siiyo naqshado wanaagsan oo buuxiya shuruudaha xirfadeed iyo kuwa warshadeed ee laga filayo hal-abuurro si wanaagsan loo naqshadeeyay. Guuleystayaasha Birta waxay muujiyaan xirfad weyn, takhasus sare, fahan khabiir iyo awood hal-abuur oo abuurayaashooda. Closet AI Madal Ganacsi oo Iib-celin ah waa hal-abuur la filayo inuu noqdo mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, wax ku ool ah oo cusub. Naqshadahan ku guuleystay Abaalmarinta Birta ah ee A' Design Award wuxuu isku daraa hab-dhaqannada ugu wanaagsan warshadda wuxuuna leeyahay sifooyin farsamo oo karti leh oo ku xiran aqoon iyo hibo. Dhammaystirkeeda awgeed, Closet AI Madal Ganacsi oo Iib-celin ah waa mudan ixtiraam, waxaana loo naqshadeeyay inay keento hagaajin nololeed oo ka caawisa in adduunka laga dhigo meel ka wanaagsan.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: 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.
Cabbirka & Qaabaynta: 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.
Summado: 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
Tiknoloojiyada Soo Saarka: 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.
Caqabadda Naqshadda: 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.
Cilmi-baadhis: 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.
Dhiirrigelinta: 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.
Muddada Mashruuca: The project began in Dec 2025 in Austin and is currently in advanced prototype development.
Socodka Hawlgalka: 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.
Xubnaha Kooxda: Ruoxuan Pan
Junjie Tang
Huixiang Chen
Amaanta Sawirrada: 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