SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu e Melisa Aksun

O le mamanu SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu e Melisa Aksun o se manumalo maualuga tele o le fa'ailoga mamalu 2025 A' Design Award Apamemea i le Vaega Tauva Mamanu Oloa Numera.

ApamemeaOloa Numera· 2025

SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu

na mamanuina e Melisa Aksun

Tagata Fa'atau: PulpoAR

Manumalo o le A' Design Award Apamemea i le Vaega Oloa Numera

25,687

Manumalo Fa'ailoga Fa'amaonia

Fa'amaonia le Tulaga o le Fa'ailoga mo #167348

Va'ai i le A' Design Award Fa'asalalauga Pailesi o le Fa'ailoga

Lanu

Le Mamanu

E Uiga ia SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu

Tusitusiga: O le SkinAI ose meafaigaluega suʻesuʻega paʻu e faavae i luga ole polokalama tautala (browser) mo masini fai galuega (desktop) ma masini feaveaʻi (mobile). E tali e tagata faʻaoga se seti puupuu o fesili e faatatau i le paʻu ma pue se ata fofoga i lalo o se taʻitaʻiga faʻatonu. Ona iloiloina lea e le machine learning ni popolega paʻu autu e ono (6) ma tuʻuina mai se sikoa mo le soifua maloloina mo popolega taʻitasi. E fatuina se lipoti faʻapitoa mo le tagata lava ia, faʻatasi ai ma fautuaga oloa e mafai ona suʻesuʻeina pe faʻatau saʻo ai foʻi. O le fesoʻotaga faʻaoga (interface) e talafeagai lelei ma nofoaga eseese ma e mulimuli i se faiga e muamua ai masini feaveaʻi (mobile first), lea e taʻitaʻia ai tagata faʻaoga taʻitasi laasaga i laasaga, ma laʻasaga toʻaitiiti ae vave maua ai iʻuga.

Le Fa'ailogaina

E Uiga i le A' Design Award Apamemea

O le A' Design Award Apamemea na manumalo ai SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu, o se faamaoniga matuā mamalu e tuuina atu i mamanu ese e iloga i le fatufatuaʻi, le atamai ma le poto. O ē manumalo i le Apamemea o mea e iai le tomai atoa ma fatufatuaʻi mataʻina e faamaonia ai le poto masani tele, le mafaufau ma le atamai o tagata mamanu. E faamoemoeina SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu e avea ma mea e vivii tele, ua pelepelea, e iloga i le tomai faapolofesa ma mea fou. O lenei mamanu na manumalo i le A' Design Award Apamemea e tuufaatasia ai faiga sili i le faatufugaga, saienisi, mamanu ma tekonolosi ma e sili ona lelei i le mataituina o mea itiiti. SkinAI Meatotino Autu: Meafaigaluega Suʻesuʻega Paʻu e faamalieina matagofie manaʻoga, pa i manaʻo, faalataina lagona ma faaosofia le fia iloa.

I Tua o le Mamanu

Pepa Fa'asalalau

Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.

Uiga Fa'apitoa: 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.
Fua & Fa'apipi'i: The digital interface design follows a responsive format suitable for multiple devices.
Fa'ailoga: Skin Analysis Tool, User Interface Design, UX/UI Design, Responsive Interface, AI-Driven Design, Skincare Technology, Interactive Design, Usability Testing, Prototyping
Tekonolosi Gaosiga: 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.
Lu'itau o le Mamanu: 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.
Su'esu'ega: 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.
Fa'aosofia: 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.
Umi o le Poloketi: 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.
Fa'agasologa o Galuega: 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.