SkinAI Ammud n Uslaḍ n Ugelmim sɣur Melisa Aksun

SkinAI Ammud n Uslaḍ n Ugelmim sɣur Melisa Aksun d anerbaz yettwaqadren meqqren n 2025 Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Tnaflit n Afeṣṣel n Ufaris Umḍin.

LbrunzAfaris Umḍin· 2025

SkinAI Ammud n Uslaḍ n Ugelmim

sɣur Melisa Aksun

Amsaɣ: PulpoAR

Anerbaz n Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Afaris Umḍin

26,358

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #167348

Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef SkinAI Ammud n Uslaḍ n Ugelmim

SkinAI d ammud n uslaḍ n ugelmim ipeddun deg iminig web, ittuseqdac ɣef yibenkan n uselway akked yiwenkan usnagar. Iseqdacen ttarran ɣef kra n isteqsiyen igejdanen yezzin ɣef ugelmim sakin ṭṭfen tawlaft n uglim yettwarran. Aselmed n tmasin isleḍ sḍis n wuguren igejdanen n ugelmim, yerna ittawi-d yiwen unekcum n tezmert i yal aḍris. Asnifel ay yettwaheggan i mkul aseqdac ittwaxleq, ɣer yidis n yisumar n yifecka i izmren ad ttwarzun neɣ ad ttwasɣen srid. Udem n useqdec yettmuqul mgal yal aserwet, yettbeʕ tarrayt n usenker s telfun uzwir, iteddu akked yal aseqdac s tuggar tucḍiḍin d wammuden n yimeslayen.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lbrunz

SkinAI Ammud n Uslaḍ n Ugelmim d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. SkinAI Ammud n Uslaḍ n Ugelmim ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. SkinAI Ammud n Uslaḍ n Ugelmim yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: The digital interface design follows a responsive format suitable for multiple devices.
Tibzimin: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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.
Tanzagt n Usenfar: 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.
Tanila n Umahil: 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.