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SkinAI 肌肤分析工具 by Melisa Aksun

SkinAI 肌肤分析工具 by Melisa Aksun is a highly esteemed winner of the very prestigious 2025 A' Design Award 铜奖 in 数字产品设计 Competition Category.


铜数字产品· 2025

SkinAI 肌肤分析工具

by Melisa Aksun

Client: PulpoAR

A' Design Award 铜奖 Winner in 数字产品 Category

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The Design

About SkinAI 肌肤分析工具

SkinAI 是一款基于浏览器的肌肤分析工具,适用于桌面端与移动端设备。用户只需回答一组简短的肌肤相关问题,并在引导下拍摄面部照片,机器学习即可评估六项关键肌肤问题,并为每一项给出健康评分。系统随即生成个性化报告,同时附上产品推荐,用户可直接浏览或购买。界面采用响应式设计并遵循移动优先原则,以极少的步骤逐步引导每位用户,即时呈现结果。

The Recognition

About the A' Design Award 铜奖

SkinAI 肌肤分析工具是 A' Design Award 铜奖得主,这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品,印证了其设计师丰富的经验、想象力与机智。预计SkinAI 肌肤分析工具将成为一件备受推崇、令人钦佩且被珍爱的物品,兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践,并因注重细节而出类拔萃。SkinAI 肌肤分析工具出色地满足需求,触动渴望,迷住情感,并吸引好奇心。

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.

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