SkinAI Sesebediswa sa Tlhahlobo ya Letlalo ka Melisa Aksun

Moralo oa SkinAI Sesebediswa sa Tlhahlobo ya Letlalo ka Melisa Aksun ke mohlodi oa khau e hlomphehang haholo ya 2025 Moputso oa Boronse oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Sehlahiswa sa Dijithale.

BoronseSehlahiswa sa Dijithale· 2025

SkinAI Sesebediswa sa Tlhahlobo ya Letlalo

ka Melisa Aksun

Moreki: PulpoAR

Mohlodi oa Moputso oa Boronse oa A' Design Award Mokhahleong oa Sehlahiswa sa Dijithale

26,358

Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #167348

Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le SkinAI Sesebediswa sa Tlhahlobo ya Letlalo

SkinAI ke sesebediswa sa tlhahlobo ya letlalo se sebediswang ka browser bakeng sa didirisiwa tsa desktop le mobile. Basebedisi ba araba dipotso tse fokolang tse amanang le letlalo mme ba nke setshwantsho sa sefahleho se tataisitsweng. Boiphihlelo ba mmotlolo (machine learning) ke moo bo hlahlobang matshwenyeho a tsheletseng a bohlokwa a letlalo mme bo fana ka lintlha tsa bophelo bo botle bakeng sa ntlha ka nngwe. Ho hlahiswa tlaleho e etselitsweng motho ka mong, hammoho le dikgothaletso tsa dihlahiswa tseo ho ka sheshwang le ho di reka ka kotloloho. Sebopeho sa sesebediswa se arabela ka potlako mme se latela mokgwa wa "mobile first", se tataisa mosebedisi ka mong mohato ka mohato ka mehato e fokolang le diphetho tse potlakang.

Kamohelo

Mabapi le Moputso oa Boronse oa A' Design Award

SkinAI Sesebediswa sa Tlhahlobo ya Letlalo ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. SkinAI Sesebediswa sa Tlhahlobo ya Letlalo e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. SkinAI Sesebediswa sa Tlhahlobo ya Letlalo e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: 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.
Boholo le Phuthelo: The digital interface design follows a responsive format suitable for multiple devices.
Lithegi: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Theknoloji ya Tlhahiso: 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.
Phephetso ya Moralo: 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.
Dipatlisiso: 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.
Kgothaletso: 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.
Nako ya Projeke: 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.
Tsamaiso ya Mosebetsi: 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.