SkinAI Hudanalysverktyg by Melisa Aksun is a highly esteemed winner of the very prestigious 2025 A' Design Award i Brons in Digital produktdesign Competition Category.

BronsDigital produkt· 2025

SkinAI Hudanalysverktyg

by Melisa Aksun

Client: PulpoAR

A' Design Award i Brons Winner in Digital produkt Category

25,687

Verified Award Winner

Verify Award Status for #167348

View at A' Design Award Press Release Award Badge

Colors

The Design

About SkinAI Hudanalysverktyg

SkinAI är ett webbläsarbaserat hudanalysverktyg för både dator och mobila enheter. Användare svarar på ett kort antal hudrelaterade frågor och tar ett guidat ansiktsfoto. Maskininlärning analyserar därefter sex centrala hudproblem och returnerar en hälsopoäng för vart och ett av dem. En personlig rapport skapas, tillsammans med produktrekommendationer som kan utforskas eller köpas direkt. Gränssnittet är responsivt och följer ett mobile first-tänk, som guidar varje användare steg för steg med få moment och omedelbara resultat.

The Recognition

About the A' Design Award i Brons

SkinAI Hudanalysverktyg är vinnare av A' Design Award i Brons, ett högst prestigefyllt erkännande som tilldelas enastående designverk som utmärker sig genom kreativitet, uppfinningsrikedom och klokhet. Bronsvinnare är mycket skickliga och slående kreativa föremål som styrker formgivarnas stora erfarenhet, fantasi och påhittighet. SkinAI Hudanalysverktyg förväntas vara ett högt skattat, beundrat och älskat föremål som är anmärkningsvärt professionellt och innovativt. Detta vinnande verk i A' Design Award i Brons införlivar bästa praxis inom konst, vetenskap, design och teknik och är utmärkt genom sin omsorg om detaljer. SkinAI Hudanalysverktyg tillfredsställer fantastiskt behov, rör vid längtan, charmar känslor och väcker nyfikenhet.

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.