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Case Study: OnSkin

OnSkin - Skincare Scanner

Case Study: OnSkin - Skincare Scanner

Overview

OnSkin: Your makeup & cosmetics ingredient checker OnSkin is your skin care scanner and cosmetics checker, crafted to help you discover the perfect products for your needs. Open the app created by experts in skin care, and its product scanner will analyze any cosmetics and makeup formula to ensure its safety, helping you glow up. It currently has 500,000+ downloads on Google Play and a 4.2★ rating.

Challenge

  • Translating a strong brand into a fast, conversion-focused mobile experience

  • Helping users discover products quickly across a growing catalog

  • Shipping a Play Store–ready Android app with reliable day-to-day performance

Solution

  • Designed and developed a production Android app published on Google Play

  • Built clear navigation and product discovery flows aligned with the brand

  • Optimized layouts for mobile screens with performance and reliability in mind

  • Supported store listing assets, screenshots, and launch readiness

Key Features

  • OnSkin: Your makeup & cosmetics ingredient checker

  • If you’re looking to boost your skincare routine or build a completely new one with the help of skin AI;

  • If you want a smart skin sort system to cut through confusing labels.

  • PERSONALIZED SKINCARE ROUTINE APP WITH FACE SCANNER ABILITIES

  • Download OnSkin and let our skincare scanner, beauty scanner, and product scanner guide you to smarter, safer choices.

Impact

OnSkin - Skincare Scanner helps customers engage with the brand on mobile — combining a polished UI with a practical lifestyle experience that supports discovery and growth on the Play Store.

“Built for the Play Store. Designed for real users.”

What we used
12 tools

Tech stack

Tools and platforms that powered design, build, and delivery for this project.

  • Android used in this Ideal e Designs case study

    Android

    01
  • AWS used in this Ideal e Designs case study

    AWS

    02
  • Docker used in this Ideal e Designs case study

    Docker

    03
  • Figma used in this Ideal e Designs case study

    Figma

    04
  • Flutter used in this Ideal e Designs case study

    Flutter

    05
  • GitHub used in this Ideal e Designs case study

    GitHub

    06
  • GraphQL used in this Ideal e Designs case study

    GraphQL

    07
  • MongoDB used in this Ideal e Designs case study

    MongoDB

    08
  • Next.js used in this Ideal e Designs case study

    Next.js

    09
  • Node.js used in this Ideal e Designs case study

    Node.js

    10
  • PostgreSQL used in this Ideal e Designs case study

    PostgreSQL

    11
  • React used in this Ideal e Designs case study

    React

    12
Visuals

Project images

OnSkin - Skincare Scanner project screenshot — Ideal e Designs portfolio case study
OnSkin - Skincare Scanner project screenshot — Ideal e Designs portfolio case study
OnSkin - Skincare Scanner project screenshot — Ideal e Designs portfolio case study
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