Lumira

An intelligent skincare app with AI-driven skin analysis

A mobile app that reads skin from a single selfie, builds personalized AM & PM routines, and learns from every check-in — replacing skincare guesswork with data-backed insight.

Android
iOS
Client’s location
Europe
BrainerHub team
1 Project Manager
2 UI/UX Designers
2 Mobile Developers
1 AI/ML Engineer
1 Backend Engineer
1 QA Engineer
Timeline
6 months
Challenges

Turn a messy, subjective habit into something measurable: accurate skin readings from phone selfies, routines people actually keep, and progress users can see — without making skincare feel like homework.

Lumira

IntroMove through the name

Skincare, finally measured

With a European beauty-tech startup, we built a mobile app that scans, scores and coaches — turning a selfie into a personal skincare plan that improves with every use.

One selfie, six scores

AI face scan for acne, hydration, pigment, pores, redness and texture

Right care, right time

AM & PM routines with product scanning and streaks

Trends, not snapshots

Daily and monthly insights that link habits to results

30 seconds a day

Check-ins that add human context to the AI

About the client

A European beauty-tech startup on a mission to make skincare personal and evidence-based. They wanted one product that serves two audiences: people who want to understand their skin, and skincare brands who want to understand their customers. *Product name changed and client anonymized; interface mockups are illustrative concept redesigns, not the client’s production UI.

About the client
About the client
About the client
About the client
About the client
Story

Three chapters: why skincare needed fixing, the idea that fixed it, and what it unlocked.

01

The guessing game

People buy on hype and follow routines that don’t match their skin. Brands sell without seeing what customers’ skin actually needs.

02

A learning loop

Scan, act, check in, learn. Every interaction feeds the next recommendation

03

Data-backed confidence

Users finally see what works. Brands get real insight into real skin.

A learning loop, not a lookup table

Every part of the app feeds the next, so recommendations get sharper the longer someone uses it.

Scan

Scan

An AI face scan scores six skin metrics from a single selfie.

Act

Act

Personalized AM and PM routines and product picks answer what the scan found.

Check in

Check in

A 30-second questionnaire captures how skin actually feels today.

Learn

Learn

Analytics link habits to results and refine the next suggestion.

Before and after

Move the lens across the selfie to reveal the AI skin map. Illustrative visualization.

Before: a single selfie
After: six skin metrics, mapped
Before: a single selfieAfter: six skin metrics, mapped

Execution

We built a cross-platform app for iOS and Android with an AI analysis engine at its core.

Features overview
Features overview
01

A full skin assessment from one selfie

Guided capture checks lighting, background, hair and shadows before the scan runs. The engine then scores six metrics (acne, hydration, pigmentation, pores, redness and texture) and compares every scan with the last.

02

Routines that fit the skin, and the clock

Cleanse, moisturize, protect, split into AM and PM. Product scanning, streaks and a weekly consistency score keep people on track, with dermatologist “Skin School” tips right in the flow.

03

Trends, not snapshots

Daily and monthly views show month-over-month deltas for skin feeling, mood and adherence, then turn them into plain-language patterns like “hydration climbs on weeks with 5+ completed routines”.

04

Thirty seconds of human context

A three-part check-in covers skincare, wellbeing and nutrition, telling the AI how skin actually feels so the next recommendation fits the person, not just the photo.

Design: calm, warm and clinical enough to trust

Skincare is personal, and data can feel cold. We paired a warm, editorial palette with clear data visualization so the app feels like a coach, not a lab report.

Component library

Component library

Score cards, metric chips, routine steps and check-in cards, built as reusable components so new metrics and features slot in without a redesign.

Design principles

Design principles

One action per screen · Plain-language insights · Progress over perfection · Guidance before capture.

Design system

Warm neutrals for calm, coral for action, forest green for healthy progress.

Your skin score is 84
64 px
Screens

Drag the ring to explore Lumira. Screens are illustrative concept redesigns.

Today
Skin report
Face scan
Routines
Insights
Check-in
Onboarding
Skin School

Today

Skin score, the day’s plan and a coach tip.

Impact

What the product does every day, in numbers. Client outcomes stay confidential.

Skin metricsscored per scan
6

Acne, hydration, pigment, pores, redness and texture

PlatformsiOS & Android
2

One cross-platform app for both stores

Daily check-inseconds
30s

Skincare, wellbeing and nutrition in one quick flow

Learning loopsteps
4

Scan, act, check in, learn

Routines a dayAM + PM
2

The right products at the right time of day

Product facts from the app design, not business results.

Value on both sides of the counter

The platform was designed to serve users and skincare brands at once.

For users — confidence
#01

For users — confidence

Data-backed insight replaces guesswork. People finally know what their skin needs, which products to use and whether their routine is working.

Get in touch

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