This project is part of the CPE391 Problem base learning course. Prepared by 3rd year Computer Engineering Student, King Mongkut's University of Technology Thonburi.
Member in team : 'PFuzesangluis team'
- 👩 Ms.Natchariya Wongamnuayporn 61070507204
- 👨 Mr.Natchapol Patamawisut 61070507205
- 👩 Ms.Thanaporn Cheentada 61070507209
- 👨 Mr.Rungwigrai Payakkanuwat 61070507219
- 👨 Mr.Prakasit Chaiphet 61070507230
❤️ Dashboard for Monitoring and Signaling Elder’s Heart Disease is a tool used for display important information about elder’s activities and heart disease risk.
💛 Using data visualization, dashboard uniquely communicate metrics visually to help users understand complex relationships in elder’s activities data.💚 Machine learning is used to measure elder’s heart disease risk, send this information to display on the dashboard.
- 🖤 Dark Theme : View to Dashboard
- Azure App Service
- e.g . Azure Blob Storage , Azure PostgreSQL Database
- Apache Airflow
- Data Factory
- Docker
- Azure app service used to Deploy to cloud server
- Power BI used to Virtualization dashboard