I along with my partner Arjya Das have had the pleasure of working under Dr Palash Ghosh , Dept of Mathematics , IIT Guwahati to develop a simple Shiny-App that provides -

1. One-month prediction of the cumulative COVID-19 cases at India-level.

2. One-month prediction of the cumulative COVID-19 cases at state-level (states with more than 1000 total cases).

3. For each state: Graph of daily infection rate (DIR), Logistic model prediction, Exponential model prediction, and Susceptible-Infected-Susceptible (SIS) model analysis.

4. All the graphs can be zoom-in using the slider below the graphs. Pointing your mouse on a graph will show the associated values.

5. An animation to show how different states obtained their first case.

6. Data will be updated every 10 days.

The app is based on his research paper on COVID-19 (jointly with Rik Ghosh and Bibhas Chakraborty) in medRxiv : https://www.medrxiv.org/content/10.1101/2020.04.24.20077792v3.

Sir's work had gained a special mention from our Honorable HRD minister Ramesh Pokhriyal : https://twitter.com/DrRPNishank/status/1263811612907048962?s=19

Our shiny app has also been listed in IIT Guwahati 's official website for covid19 :

https://www.iitg.ac.in/covid-19/?fbclid=IwAR2BrEmrlhfwxvyyQaoGiRzFQddNqqXlAUhXAczMu9rzGVsfiMyo8ozMUgw