Motivation
Camera-based health tools are accessible, but they need careful signal handling and responsible presentation to remain useful.
Health Tech Thesis Project
Heart Rate Prediction Application using Flutter
A Flutter-based heart-rate application using smartphone camera PPG ideas, signal-quality handling, and mobile health interaction design.
2024
Project overview
This project combines mobile development and basic physiological signal processing into a practical heart-rate measurement experience built with Flutter.
Method and architecture
- Smartphone-camera capture flow for pulse estimation
- Signal-quality and artifact-handling logic
- User-facing presentation of measurement results inside a mobile UI
My contribution
- Built the Flutter application and mobile interaction flow
- Worked on the technical interpretation of PPG-oriented measurement concepts
- Connected academic experimentation with product-minded app design
Results
- Validation was carried out against pulse oximeter readings in project documentation, and those findings are presented as project-specific results rather than generalized clinical claims.
Impact
- Demonstrates the combination of Flutter engineering and health-oriented experimentation
- Provides a clear foundation for later health-AI portfolio work