Awards & Nominations
UWR Legends has received the following awards and nominations. Way to go!

UWR Legends has received the following awards and nominations. Way to go!
We developed an app that attempts to help the user understand the COVID situation in his/her community, and gives recommendations to the user as to how he/she can be safe. This solves the challenge (Spreading awareness of how to stay safe in COVID-19) by using facts, such as the number of cases, and the predicted cases to come up with ways the user can be safe. This also encourages the user to take action due to the facts being placed in front of him/her. This is important in 3 ways. The user, society, the environment and the economy. This is important for the user, as it affects his/her personal health. This is important for society as if one person doesn’t be socially responsible, the dise
Data is fitted into an ml algorithm(Linear regression) using python. cases are predicted
predicted values are sent to the app built by app inventor
based on certain parameters, the app will signal the user about the safety conditions
it also will plot graphs
the below site helped broaden our knowledge on the database
https://earthdata.nasa.gov/learn/articles/sedac-covid-19-viewer
The space apps experience was amazing
We learnt many things and most importantly teamwork
We chose a project to alert people of the covid cases around them as we thought that is what people are looking for in this situation
We would also like to thank our parents for supporting us throughout the challenge
dataset:https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports
This project has been submitted for consideration during the Judging process.
COVID-19 continues to be a global problem even though vaccination efforts are underway to control its propagation. Your challenge is to use environmental data and other information (such as epidemiological, social, policy, and economic data) to build a smartphone application that provides individualized, geolocated, COVID-19 risk warnings to guide social awareness, response, and health security.
