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Python and JS-based web application to track US COVID-19 cases and provide ML-prediction of case increases/decreases.

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SJJacques/myCovidTracker

 
 

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my-covid-tracker

Vision Statement

Our product will be for any resident or visitor of the United States (US) who wishes to gain knowledge on the risk of Covid-19 contraction by traveling to any state in the US. The product will help users assess the risk of traveling based on predictions that the product makes. The product's name is the myCovidTracker and would be available as a basic web application. This application will give the user the ability to enter conditions that the user will be traveling in. For example, the user can indicate how much they will be exposed, or how many people they may interact with. Data provided by the Center for Disease Control (CDC) will be used to train a model that can predict Covid-19 trends in a given county will be used to create a risk assessment for the county that the user wants to travel to. Unlike services like Google and CDC tracking maps, this will be specific to the United States and will use Machine Learning algorithms to actually give the user an honest risk assessment as opposed to raw data and basic aggregation only. Our product would offer the ability to see up to one month in advance.

Website

Source for Dataset

Team Members

Sprint 1

Task Allocation

  • Robinson - Locating a data set with features such as 'date' and 'county'
  • Jacob - Designing layout of GUI
  • Sairam - Picking a language that is robust and good for front end development
  • Steve - Picking a coding standard for Python and a front end language

Sprint 2

Task Allocation

  • Robinson - U003, class diagrams, demonstration
  • Jacob - U012, C4 diagrams, Interface diagram
  • Sairam - U014, ER diagrams
  • Steve - U013, Design Document

Sprint 3

Task Allocation

  • Robinson - U005, U016, class diagrams, demonstration
  • Jacob - U007, interactive map, updates to C4 diagrams, Interface diagram
  • Sairam - U028, U016, ER diagrams
  • Steve - U013, Design Document

Sprint 4

Task Allocation

  • Robinson - U029, class diagrams, demonstration
  • Jacob - U007, interactive map, updates to C4 diagrams, Interface diagram
  • Sairam - U015, U029, ER diagrams
  • Steve - U018, U019, Design Document

Sprint 5

Task Allocation

  • Robinson - U029, class diagrams, demonstration
  • Jacob - U008, interactive map, updates to C4 diagrams, Interface diagram
  • Sairam - U036, U029, ER diagrams
  • Steve - U031, U019, Design Document

Sprint 6

Task Allocation

  • Robinson - U037, model demo, class diagrams
  • Jacob - U008, C4 diagrams, Interface diagram
  • Sairam - Research, CDC correspondence ER diagrams
  • Steve - U038, Design Document

Sprint 7

Task Allocation

  • Robinson - Model hyperparameter tuning, VPS setup, class diagrams
  • Jacob - U023, U039, C4 diagrams, Interface diagram
  • Sairam - U009, ER diagrams
  • Steve - U040, Database, Design Document

Sprint 8

Task Allocation

  • Robinson - Final Integration, VPS integration, Powerpoint slides, Final Demonstration, class diagrams
  • Jacob - U041, PowerPoint slides, C4 diagrams, Interface diagram
  • Sairam -Final Integration, PowerPoint slides, ER diagrams
  • Steve - U017, DJango/Database integration, PowerPoint Slides, Design Document

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Python and JS-based web application to track US COVID-19 cases and provide ML-prediction of case increases/decreases.

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  • JavaScript 79.1%
  • CSS 9.8%
  • HTML 5.7%
  • Python 5.4%