SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij by Melisa Aksun

SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij by Melisa Aksun is a highly esteemed winner of the very prestigious 2025 A' Design Award Tooj in Tsim Khoom Digital Competition Category.

ToojKhoom Digital· 2025

SkinAI Cov Cuab Yeej Tshuaj Xyuas Tawv Nqaij

by Melisa Aksun

Client: PulpoAR

A' Design Award Tooj Winner in Khoom Digital Category

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Verified Award Winner

Verify Award Status for #167348

View at A' Design Award Press Release Award Badge

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The Design

About 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.

The Recognition

About the 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.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: The digital interface design follows a responsive format suitable for multiple devices.
Tags: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.