SHOTTO - Space Apps Challenge

SHOTTO| Human Factors

Human Factors

The emergence and spread of infectious diseases, like COVID-19, are on the rise. Can you identify patterns between population density and COVID-19 cases and identify factors that could help predict hotspots of disease spread?

Covid! Where are you

Summary

In this project, we will use NASA data about the density, weather conditions, and the current conditions of the pandemic in the world. We will analyze the data and we will make an application that will predict how likely one area is to get affected next and what the world may look like in near future in case of a covid-19 pandemic.

How We Addressed This Challenge

The challenge addresses finding the factors responsible for the spreading of coronavirus across areas.

We in our project will predict the spreading and severity of the pandemic around the globe.

How We Developed This Project

We take input as the current condition of areas. Then Analyze it and predict the future possibility of COVID cases.

We build an interactive web application and cross-platform application that can be deployed in mobile or low-end devices.

Technology We Used: ML , DL Frameworks( tensorflow , pythoch , keras) , Java Script , Python , C# ,Google Firebase , php.

Project Demo

Presentation file of our project :

https://docs.google.com/presentation/d/1deROK46nxiWAiu5cEGgjjvoIHUsVrkD-2pNSVBf2r_0/edit?usp=sharing

Data & Resources

https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/

https://earthdata.nasa.gov/learn/pathfinders/covid-19

Global Judging

This project was submitted for consideration during the Space Apps Global Judging process.