Skin analysis using AI, directly on your smartphone

Software Development

Software Architecture

Product Planning

UI/UX Design

skinja is an AI-powered skin analysis app for the early detection of abnormal skin changes for medical and cosmetic applications.

The application combines computer vision and edge computing for fast, offline skin analysis, offers an archive of scan histories and PDF exports for communication with doctors, and stands out thanks to its particularly user-friendly UI/UX design.

Implementation

Innovation platform for new MedTech products

Platform

Web | iOS | Android

Industry

Medical Technology | Healthcare

Target Audience

B2B | B2C

Tech Stack

Angular | Capacitor | Swift | TensorFlow | Figma | Adobe Creative Cloud

Use Cases
  • AI-supported real-time skin analysis

  • Offline use for consultation in areas without stable internet connection

  • History & comparability through scan archive

  • Automatic documentation and PDF generation for sharing with medical personnel

  • Intuitive, mobile-first user experience with focus on accessibility and trust

  • Optimized UI/UX flow for easy everyday use

Development

Cross-Platform

Roles

UI / UX Designer | Developer

onexis Involved

5

The problem

The following points show the initial situation and the challenges that we gradually addressed and solved during the course of the project.

  • No existing solution for AI-supported skin image analysis

  • High requirements for user-friendliness, data protection, and offline usage

  • Technical complexity due to the combination of AI, mobile app, and edge computing

  • Lack of structured reference architecture for comparable AI projects

  • UI/UX of competitors often outdated, confusing, or medically untrustworthy

  • Uncertainties in handling model training, performance on mobile devices, and statistical evaluation

Which core features have been implemented?

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Responsive

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Offline Use

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File Upload

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Image Recognition

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AI

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Branding/ Corporate Design

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Clickable Prototype

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Data Analysis and Evaluation

Our expertise

skinja is not just about technology—it’s about our entire experience in developing user-centered, AI-based applications. From the initial idea to the functional prototype, we effectively combine design, machine learning, and mobile development.

AI Integration for Mobile Devices

We develop high-performance AI solutions that run directly on smartphones and tablets—optimized with TensorFlow and ONNX for minimal latency, offline capability, and energy-efficient real-time processing.
UX Design for Trustworthy Health Apps

Health is a matter of trust. Our design approach combines a professional medical look & feel with intuitive user guidance—creating apps that are taken seriously yet remain easy to use.

Prototyping & Product Development Under One Roof

From the first wireframe to a functional MVP: we combine strategic thinking, technical expertise, and an agile mindset to build digital health products efficiently and resource-consciously.

Cross-Platform Apps with Modern Tech Stack

Our stack of Angular, Capacitor, and Swift enables fast development, easy maintenance, and a consistent user experience on web and mobile—responsive, scalable, and future-proof.

Edge Computing & Offline Functionality

Medical advice should be accessible everywhere—even without a stable internet connection. Our solution runs locally on the device while still providing powerful AI features without relying on the cloud.

Rapid Iteration & Testing in an Agile Setup

We build early testable prototypes to make ideas tangible and quickly gather real user feedback—instead of months of development in a vacuum.

Technological Decisions with Foresight

Our stack is based on modern, open standards—future-proof, modular, and independent of single vendors. This ensures short time-to-market and high flexibility for new requirements.

Design Systems & Prototypes with Figma

From early clickable mockups to full UI design: we work iteratively and closely with user feedback—using structured components, clear layouts, and interactive prototypes for early testing.

What Makes the Porting Technically Special


skinja combines modern web technologies with powerful AI—directly on the end device. The application is designed to work even without an internet connection, delivering high performance and offering a sophisticated, medically inspired UX. This is made possible by a cross-technology stack that has been specially optimized for mobile AI applications.

Frontend

  • Angular + TypeScript + SCSS: Structured, component-based development with a focus on maintainability and reusability—ideal for complex UIs with clear user guidance.

  • Capacitor: Native functionality on iOS devices, e.g., camera integration and file management—using a shared codebase for web and mobile.

  • Responsive UI: Optimized for different screen sizes and input methods—suitable for medical consultations as well as home use.

Backend & Cloud

  • TensorFlow + ONNX: A combination of established frameworks for deep learning and cross-platform AI execution with near-native performance.

  • Edge AI: Skin analysis runs directly on the device—no cloud required, with extremely low latency and maximum data privacy.

Artificial Intelligence

  • Offline-capable & resource-efficient: All core functions run locally—ideal for sensitive data and environments with limited connectivity.

  • Modular & future-proof: The tech stack is fully extensible—for new analysis models, additional scanning functions, or third-party integrations.

Special Features

TECH BLOG

Everything you want to know

Software Timing Troubles? Log Your Way to Success!

The Shock of the Year 2022: ChatGPT takes the stage and raises the question of whether AI will dominate software development. Our journey through the emotional rollercoaster of psychological phases, from denial to acceptance, is illuminated in this post by CEO Matthias. Learn how we dealt with the challenge and discover the answer we found to the crucial question. A glimpse into our journey, where we got our hands dirty and developed our own AI model.

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The German Angst from a CEO perspective: What AI is not!

The Shock of the Year 2022: ChatGPT takes the stage and raises the question of whether AI will dominate software development. Our journey through the emotional rollercoaster of psychological phases, from denial to acceptance, is illuminated in this post by CEO Matthias. Learn how we dealt with the challenge and discover the answer we found to the crucial question. A glimpse into our journey, where we got our hands dirty and developed our own AI model.

Mehr erfahren

How to start with AI locally on a Computer?

Discover how easy it is to start Artificial Intelligence locally on your computer! Our short guide will walk you through the steps, demonstrating how you can generate images directly on your computer without additional costs.

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IONIC 101: Code your own grocery list app with ease.

Learn about developing an app with Ionic and Angular, seamlessly extending to iOS and Android. Explore benefits like Dependency Injection, service management, and Capacitor API integration for native features. Transition effortlessly from web to mobile development with our guidance, creating a versatile app across platforms.

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Together, we'll create a product users genuinely love.

Our workflow with the

Double Diamond Method

 

The Double Diamond method is a proven design process that consists of four phases: understanding, defining, developing ideas, and implementing. It alternates between divergent thinking (exploring many possibilities) and convergent thinking (focusing and selecting). This results in user-centered solutions that are both creative and goal-oriented.

Interaktiver Prototyp in Figma
 

  • Served for early alignment with stakeholders
  • Visualization of the entire user journey – from skin analysis to results presentation
  • Testing of user interactions and information architecture
Findings Overview & Progression

 

Clear overview of all analyzed skin areas with direct risk indication.
Filters by date, skin area, or most recently opened allow quick comparison and targeted evaluations.

  • Structured view for medical findings
  • Intuitive filtering and editing options
  • Supports fast, well-informed decision-making
PDF Export for Doctors and Patients

 

  • Findings and scans can be exported as PDFs for safekeeping or sharing as needed.
    This helps users keep track of their skin history and share documents with doctors when necessary.
    • PDF export of individual scans or entire histories
    • Clear presentation of images, names, dates, and risk levels
    • Ability to add personal notes to skin areas
  • This feature promotes personal responsibility and provides clear documentation of skin development.

 

Our References

From Vision to Implementation

So, when can we write your success story?