Skincare recommendation powered by science
MÜD is a platform that provides custom skincare recommendations
personalized for your skin, budget + lifestyle, powered by science.
We deliverd a recommendation engine and a responsive web applications for the product.
The first challenge we faced was to ease up the long skin profile builder section which essentially onboards the user. We managed to do that with educative welcome screens (which had some relatable ‘I know it’s long’ sidenotes) to the four parts of the skn profile builder section. This helps to make the user understand why we ask that much to get started.One important lesson we learned here was that letting the brand penetrate the experience leads to a whole new level of
The goal we had in mind while designing was to give MÜD users a great mobile first and scalable experience.
Big-round buttons, effecient use of whitespace and functional background surfaces are the elements to making the app feel welcoming and friendly.
Resonsive Web App
MÜD web app was written in Nuxt.js(Vue.js) and the Backend was built on Django(Python). And Deployed applications on AWS.
We decided that the Django REST framework was a good match for our needs, so we used it to build the RESTful API.
We live in a mobile world, the average user uses their mobile device more than any other device, and we built this platform with that in consideration.
Data security and integrity is ensured with the latest version of the PostgreSQL database and regular automated backups.
MÜD needed to recommend the right products to customers, after they had answered few questions concerning their skins. We built a data repository of products which involved Scraping using Selenium and creating algorithms that recommended products to address the user skin’s concerns.