SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij los ntawm Melisa Aksun

Qhov qauv tsim SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij los ntawm Melisa Aksun yog tus yeej muaj nqis heev ntawm qhov khoom plig 2025 A' Design Award Tooj hauv Pawg Sib Tw Tsim Khoom Digital.

ToojKhoom Digital· 2025

SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij

los ntawm Melisa Aksun

Tus Neeg Siv: PulpoAR

Tus Yeej A' Design Award Tooj hauv Pawg Khoom Digital

26,358

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #167348

Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij

SkinAI yog ib qho cuab yeej tshuaj xyuas tawv nqaij ua haujlwm ntawm browser rau ntawm desktop thiab mobile devices. Cov neeg siv teb ib co lus nug luv luv txog tawv nqaij thiab yuav tsum tau coj ib daim duab ntsej muag raws li tau qhia. Machine learning tom qab ntawd yuav tshuaj xyuas rau tsib lub teeb meem tseem ceeb ntawm tawv nqaij thiab muab ib qho health score rau txhua qho teeb meem. Ib phau ntawv qhia tshwj xeeb rau tus neeg siv yuav raug tsim, nrog rau cov khoom pom zoo qhia uas tus neeg siv tuaj yeem tshawb xyuas los yuav ncaj qha. Lub interface muaj peev xwm hloov raws li lub screen thiab tsim raws li mobile-first approach, qhia txhua tus neeg siv tias tsuas yog muaj ob peb kauj ruam xwb thiab tau txais cov results tam sim ntawd.

Qhov Lees Paub

Txog A' Design Award Tooj

SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij yog tus yeej ntawm A' Design Award Tooj, ib qho kev lees paub muaj meej mom heev uas muab rau cov qauv tsim tshwj xeeb uas txawv los ntawm kev tsim tshiab, kev txawj tsim thiab kev ntse. Cov neeg yeej Tooj yog cov khoom muaj txuj ci heev thiab tsim tshiab heev uas ua pov thawj txog kev paub ntau, kev xav thiab kev txawj ua ntawm cov kws tsim qauv. SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij xav tias yuav yog ib qho khoom uas neeg hwm, qhuas thiab hlub, uas tshaj lij heev thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Tooj no siv cov kev coj ua zoo tshaj plaws ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis thiab zoo heev vim nws saib xyuas cov ntsiab lus. SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij ua tau raws li cov kev xav tau zoo kawg, kov cov kev xav, ntxias cov kev xav thiab txhawb kev xav paub.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: Skin AI is a browser-based skin analysis tool for desktop and mobile platforms. Users answer skin-related questions, take a guided face photo, and receive health scores for six key skin concerns via advanced machine learning. Personalized product recommendations are provided, enabling users to explore or shop directly. Designed with a mobile-first approach, Skin AI delivers an intuitive, seamless user experience.
Qhov Loj & Ntim: The digital interface design follows a responsive format suitable for multiple devices.
Cov Ntsiab Lus: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Thev Naus Laus Zis Tsim Khoom: I used Figma for design all interfaces, complemented by user testing via Miro and Figjam. Visual assets were generated with AI tools using specific prompts to ensure alignment with the project concept. High fidelity visuals were finalized in Photoshop, prioritizing a polished, user friendly design.
Kev Sib Tw Tsim Qauv: Balancing advanced AI functionality with an intuitive design was the primary challenge. Ensuring inclusivity for diverse skin tones required sourcing varied datasets and refining the visual output. Iterative usability testing and a focus on responsive design helped overcome technical and user centered challenges.
Kev Tshawb Fawb: My research began with understanding the real needs and frustrations of users when it comes to skin analysis tools. I aimed to create a design that was not only technologically advanced but also approachable and easy to use. I conducted user surveys, interviewed industry experts, and analyzed competitors to gain a comprehensive perspective. These efforts helped me identify key areas to focus on, such as interface usability, visual clarity, and accessibility. The insights I gathered shaped every stage of my iterative design process, ensuring the final product met both user expectations and functional requirements.
Kev Txhawb Siab: Skin AI was inspired by the need to help individuals better understand and improve their skin health. The concept emerged from the idea that personalized analyses focused on specific skin concerns could simplify users' journeys toward the right products. Leveraging the broad accessibility of mobile devices, the tool aims to offer an easy-to-use solution available anywhere, at any time.
Lub Sij Hawm Ua Hauj Lwm: The project started in February 2024 in Istanbul and was finalized in May 2024. Initial research and prototyping phases were conducted remotely, leveraging digital collaboration tools. Key milestones included usability testing, visual refinement, and AI integration, which contributed to the project success.
Txheej Txheem Ua Hauj Lwm: The design simplifies the skin analysis process through a user-friendly interface that guides the audience step by step. Users answer a brief set of questions and upload a selfie, allowing the tool to analyze their skin conditions and generate a personalized report. The system ensures ease of use with minimal steps, intuitive navigation, and instant results, fostering trust and emotional engagement with its precise and relatable insights.