CardioGuard

Cardiac Patient Data Management System with Machine Learning

Team

E/20/262: Tharindu Lakshan (e20262@eng.pdn.ac.lk)
E/20/266: Pradeep Nilupul (e20266@eng.pdn.ac.lk)
E/20/084: Pathum Dilhara (e20084@eng.pdn.ac.lk)
E/20/254: Kavindu Methpura (e20254@eng.pdn.ac.lk)
E/20/397: Dimantha Thilakasiri (e20397@eng.pdn.ac.lk)

Features

Machine Learning Integration: Predicts heart failure risks to enable proactive healthcare.
Data Visualization: Offers graphical representations of patient health data for better understanding.
Remote Accessibility: Allows patients and doctors to access data from anywhere, enhancing convenience.
Secure Data Storage: Ensures the safety and privacy of sensitive patient information.

Technology and Implementation

Java and Spring Boot

Java and Spring Boot: Backend developed using Java, with Spring Boot for ease of production-ready setups.

React and Tailwind CSS

React and Tailwind CSS: Modular front-end development with efficient styling.

Python for Machine Learning

Python: Integrates machine learning models to assess risks and improve healthcare.

System Screenshots

Home Page Screenshot

Dashboard Screenshot

Graphs Screenshot

Links

Project Repository Project Page Department of Computer Engineering University of Peradeniya