NASARS- 20

NASARS- 20| 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?

Summary

Nasars- 20 is an app that allows its users to see the countries with the highest risk of contracting or spreading a infectious disease by allowing users to visualize the main factors towards the spreading of infectious diseases using an Artificial Intelligence software. We propose a section of news and prevention were users can learn how to take care properly.

How We Addressed This Challenge

We are using an AI software that uses static and dynamic information to learn. The information will be retrieved from existing databases of NASA and other important companies as well as using their infrastructure and servers to support the app. The real time information will be retrieved by nanosatellites that allow to capture specific parameters. This device acts as a receptor and transmitter and updates the parameters from time to time. Our AI software allows to detect if the combination of the parameters results in a possible hotspot in a near future and will indicate in which country and the influencing factors.

How We Developed This Project

We are convinced that the best way to reduce the impact of infectious diseases such as COVID- 19 is to prevent the spreading of diseases. Our intention is to use Machine Learning and Artificial intelligence to develop a software that is able to prevent hotspots from the principal infectious diseases such as COVID-19, we intend to develop an app to show the information and update it daily. We used space agency data because we want to train our AI software with data related to the spread of infectious diseases, such as population, climate, access to public services, social progress, how viruses behave, geographic factors and many others we have to think while determining the spreading probabilities of infectious diseases. We used illustrator for UX, Excel to collect data, RapidMiner for analysis and visualization of data and Marvel for the app prototype. We had problems while collecting some Open Data, developing the app and defining the way the software was going to work, at the same time our achievements were solving the problems we had, we have a very good project with a bright future.