SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli ītēchcopa Melisa Aksun

Tlanāhuatīlli SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli ītēchcopa Melisa Aksun cē cencā mahuizzō tēmacēhualōni īpan huēyi 2025 Mahuizolli A' Design Award Bronse īpan Tepoztlachihualli Tlachihchihualiztli Nēhuilīztli Tlamantli.

BronseTepoztlachihualli· 2025

SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli

īpal Melisa Aksun

Tlanāhuatīlli: PulpoAR

Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Tepoztlachihualli Tlamantli

26,358

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #167348

Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli

Tlahcuiloliztli Amoxtli: SkinAI ce tlapalihuiliztli tlachializtli xincayotl tlein motequitiltia ipan tlahtlachialoni computadora ihuan mapiltequilizmachiotl. Tlaixmatinih quinnanquilia achitzin tlahtlaniliztli tlein itech pohui xincayotl ihuan quicuih ce ixco tlaixcopinalli ica yeknemachtiliztli. Machine learning quipohua chicuace huei xincayotl tlatemoliztli ihuan quitemaca ce pahtiliz-tlapohualli para cecen tlatemoliztli. Se nohuian-ye tlacetiliani amoxtli mochihua, ihuan innepehualtiloca tlanamactli tlein huelis motemoa noso monamaca zan niman. In tlanextiliztli momalacachoa ihuan quitoca mapiltequilizmachiotl-achto ohtli, quinyacana cecen tlaixmatini ipan cecen ehco ica achi ehcotl ihuan niman tlanamiquiliztli.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Bronse

SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. SkinAI Tlein Ic Motequitiltia: Tlapalihuiliztli Xincayotl Tlachializtli quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: The digital interface design follows a responsive format suitable for multiple devices.
Tōcāitl: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: 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.
Tēquitl Ōhuitl: 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.