Meet the team behind CardioGuard:
- 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)
Feature | Description |
---|---|
Machine Learning | Predicts heart failure risks. |
Data Visualization | Graphical view of patient health data. |
Remote Accessibility | Access patient data from anywhere. |
Secure Storage | Ensures safe handling of sensitive data. |
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Java and Spring Boot
- Backend built using Java, meeting CO225 requirements.
- Spring Boot framework simplifies backend development.
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React and Tailwind CSS
- React provides a modular, component-based frontend.
- Tailwind CSS enables modern and responsive design.
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Python for Machine Learning
- Python integrates machine learning models for risk prediction.
- Algorithms assess heart failure risks for proactive healthcare.
Explore more about CardioGuard: