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COVID Management Application

The project is in master Branch

Description

This COVID Management Application is a scholarship project proposed by me during this academic year, which was particularly impacted by the COVID-19 pandemic. Although the professor only required a MongoDB database application, I chose to focus on COVID-19. The application is designed to manage users with COVID-19, track the disease's spread, and provide statistics by city. It also manages the status of individuals (dead, not dead, test positive, negative) and generates statistical charts. Screen Shot

Features

  • 🧩Login Interface: Secure login interface for accessing the COVID management application.
  • 🧩 Patient Management: Efficiently manage and track patients with COVID-19, including their status and test results.
  • 🧩 City-Based Patient Statistics: Provide city-specific statistics to better understand the impact of COVID-19 in different areas.
  • 🧩 COVID Test Results and Statistics: Track and generate statistics on COVID-19 test results, including positive and negative cases, with statistical curves.
  • 🧩 Generate OLAP Cube: Generate the OLAP cube based on your selections.
  • 💾 Final Patient Outcome: Monitor and provide statistics on patient outcomes, including deceased and recovered, categorized by city and gender.

Getting Started

Prerequisites

  • Visual Studio 2019
  • Metero Framework
  • Mongo DB
  • NOSQL

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Mohamed Nour KHammeri - @My-Web-Site - mednour.khl@gmail.com

Project Link: https://github.com/mednour2019/covid