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COVID19 Predictions

-- Project Status : [Active]

Project Intro

The purpose of this project is to predict and track the average number of coronavirus cases around the world.

Methods Used

  • Data Visualisation
  • Machine Learning
  • Predictive Modeling
  • etc.

Technologies

  • Python
  • Github
  • AWS
  • Android Studio
  • etc.

Dataset

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).


Visual Dashboard (desktop):
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Visual Dashboard (mobile):
http://www.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61

Lancet Article:
[An interactive web-based dashboard to track COVID-19 in real time](https://doi.org/10.1016/S1473-3099(20)30120-1)

Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE):
https://systems.jhu.edu/

The data of Indian states and districts were extracted from : https://api.covid19india.org/csv/

Getting Started

  1. Raw Data is being kept here within this repo.
  2. Clone the repository to get the source code
  3. Install the flutter Application (IoS and Android) from here

Authors