Splash, Login & Register Screens
Dashboard (Scanning)
Analysis
Scan Details
Settings
Info
Profile
About the Project
This project is a thesis work focused on the implementation of the user interface for an EKG analysis and doctor authentication system. The application is developed as the frontend part of the thesis, providing a modern, user-friendly interface for doctors to securely view and analyze EKG data, manage patients, and handle sessions. The backend and the custom YOLO model for EKG analysis are developed as separate projects.
- Backend repository: ekg-vision-backend
- Custom YOLO model for EKG: yolov9-bit
The backend is powered by Python Flask and the EKG analysis leverages a custom YOLO model.
Features
- Doctor registration and secure login
- Session management
- EKG scan upload and analysis
- Patient management
- Modern UI with light/dark mode
- Profile and settings management
Technologies Used
Flutter
Dart
Python
Flask
You can view the full thesis article (PDF) for the custom YOLO model and EKG analysis below:
Download Thesis PDF