Cross-Platform Framework
Flutter
Single codebase for iOS and Android, enabling rapid development with beautiful native-like UI
Research Project
Cutis Monitor
Continuous Skin Measurements — Wearable Health Tracking System with Flutter App
FlutterDartBluetoothHealth DataTime-SeriesMachine Learning
Role
App Developer & UX Designer
Type
Research Project
Platform
iOS & Android
The Project
The goal of this research project is to test various measurement methods for continuous skin health monitoring. An app was developed to receive sensor data, calculate skin values, and present them appropriately to the user.
Additionally, the research explores whether subjective well-being or weather events affect measurements, and to what extent machine learning can contribute to the analysis of these long-term measurements.
A wearable was developed to measure health data from patients, with an app to read and display the data. Patients can also use the app for documentation purposes.
My Responsibilities
End-to-end development of the health tracking application
🎨
UI/UX Conception
Designing intuitive interfaces for patients to understand and interact with their health data
📱
Hybrid-App Implementation
Building the cross-platform mobile application with Flutter for iOS and Android
📈
Dynamic Time-Series Graph
Implementing interactive visualization for various measurement data over time
🔄
Data Transformation
Converting raw sensor data into meaningful health metrics through complex calculations
🔗
Bluetooth Integration
Establishing reliable connection between wearable device and mobile application
🚀
Continuous Delivery
Setting up automated deployment pipelines for rapid iteration and testing
Features Implemented
A comprehensive feature set for health data acquisition and analysis
📈Time-Series Graph
🧮Data Processing
📋Dashboard
💬Chat
↩️Self Reporting
📊Data Visualization
🔔Notifications
📱Bluetooth Connection
Technical Highlights
Applied complex calculations on sensor data • Interactive time-series visualization • Real-time Bluetooth data streaming • Patient self-reporting system • Dashboard for health status overview • Chat functionality for patient support
App Screens
A glimpse into the user interface for health monitoring
Dashboard
Health Status
Time-Series Graph
Data Analysis
Self Reporting
Pain Evaluation
Technical Approach
Built with modern mobile development practices
Modern Language
Dart
Strong typing and async support for handling real-time data streams from the wearable device
Complex Calculations
Data Processing
Transform raw sensor signals into meaningful health metrics for patient understanding
The Wearable Device
As part of the research project, a wearable device was developed to continuously measure health data from patients. The device connects via Bluetooth to the mobile app for real-time data transmission.
- Continuous skin measurements
- Bluetooth Low Energy connectivity
- Long battery life for extended monitoring
- Comfortable wearable design
Technology Stack
Operating System
MacOS
Programming
Flutter, Dart
Development Tools
IntelliJ IDEA, Android Studio, XCode
Version Control
Git, GitLab
Industry
Health-Tracking System