L’Oréal SkinGlow
An app created for the 2024 L’Oréal Brandstorm competition
To simplify the skincare process by providing AI-powered, personalised recommendations that are sustainable, wallet-friendly while enhancing the user experience with data-driven insights
L’Oréal SkinGlow
Timeline —2 Weeks (2024)
Role — Ideator, User interfacer designer, video production
Tools: Figma and Canva
Outputs: 1 minute video, UI mockups, report, user journey map
Team: Madison Nguyen, Mehak Dhiman and Anh Nguyen
What is the problem?
With so many possible combinations of skin conditions and corresponding skincare products, finding the right skincare solution can feel like searching for a needle in a haystack. Information on how to use products - let alone combine them effectively - is scattered across numerous sources. This issue of having a multitude of products to pick from is not just an issue for individuals; it’s also an issue for sustainability when far more products are being consumed, or worse left unused, than needed.
What is it?
An AI powered app to offer skincare that's personal, sustainable, and wallet-friendly. We're on a mission to transform how people discover, buy, and use skincare, all while nurturing community spirit and caring for our planet.
Introducing L’Oréal SkinGlow...
L’Oréal Skinglow is a comprehensive skincare app designed to meet a wide array of skin needs through advanced technology and personalisation. The app’s homepage provides daily skin affirmations and local weather updates to adjust skincare routines according to environmental conditions. It features an AI chatbot, a private diary to track their skincare journey, a community forum, the ability to search for discussions by skin-type issues, and a resources page with green-rated skincare articles and operates entirely on 100% renewable electricity.
Sign up page + homescreen
Users are prompted to login or create an account - they are then greeted with a home screen with daily skincare affirmations and AI skincare notifications based on local weather conditions for routine adjustments. Users can stay one step ahead of changing weather conditions - from UV levels to humidity and pollution.
My profile + Lorey AI
Built with the latest Large Language Models (LLM), Lorey is an inbuilt AI assistant that can answer questions through natural conversations, and give in-app purchase L’Oréal product recommendations based on skin types, concerns, and ingredients.
Resources + community
Users can join a community for resources and tips and see others share their skincare journey. They are able to interact with other uses by commenting on their posts, heart reacting to their content or add as a friend. On the resources tab, users are able to filter and search for skin-specific resources. Each resource has a green rating of how eco-friendly it is.
Shop
Users can select the shopping cart icon on the nav bar to direct them to the marketplace. With an easy to use scroll function users can browse items available to purchase. This function is coupled with the AI bot. Users are able to directly
Skin diary + log
Users can monitor progress with private photos, comments and mood tracking, and adapt their routine based on AI insights. They are able to have a monthly view on their logs to stay motivated through a streak.
Promotional Video
User Journey Map
Report
What I’ve learnt from this project
Time management: I improved my ability to manage time effectively, balancing the demanding tasks of design, testing, and iterations to meet project deadlines.
Adaptability: I learned to quickly adjust to changes in project requirements and user feedback, adopting a flexible approach to enhance the app's design and functionality.
Creative problem solving: I enhanced my problem-solving skills by creatively addressing user needs, such as integrating AI and weather-related features into the app.
Technical proficiency: I deepened my technical skills and gained practical experience with AI integration, understanding how it affects user interactions and the overall functionality of the app.