OHIO FORCE - Space Apps Challenge

OHIO FORCE| 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?

Geographical based A.I. system for predictability and analytics of Covid-19 hotspots.

Summary

Our system will provide a way for users to input to evaluate and predict the potential for a Covid-19 outbreak in a particular area.Users can submit a form to request that a particular GIS data set is included in the analytics and predictability algorithms.The project is driven by three algorithms. All algorithms use existing data. 1) analytical results of current, existing data 2) predictability with machine learning3) predictability with machine learning and user input

How We Addressed This Challenge

Our system will combine existing data, machine learning and user input to identify a specific combination of properties that are likely to proceed a particular outbreak.

How We Developed This Project

Google Maps API, Covid-19 data, Azure machine learning, PHP Laravel application.

Project Demo

Details to come soon.

Project Code

https://github.com/sunnytreesoftware/HOPE-20

Data & Resources

Details to come soon