❤️ PBL_project

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.

Developer Team

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

📝 Project Description

❤️ 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.

📋 Data Pipeline

📋 Data Model

💗📈 Vitualization

Dashboard in project

🖤 Dark Theme 🖤

🌐 🖥️ Link to Dashboard 🤍 🖤

• 🖤 Dark Theme : View to Dashboard

⚙️ Tools in Project

• Azure App Service
  • e.g . Azure Blob Storage , Azure PostgreSQL Database
• Apache Airflow
• Data Factory
• Docker

🛠️ Built With

• Azure app service used to Deploy to cloud server
• Power BI used to Virtualization dashboard