Our solution will compare the photos taken before the covid-19 spreading to the photos after the spreading. Our solution also enables to the user to see the places that is not affected or less affected.
we started by writing the Algorithm that we will take For making the app, we divided them into three main categories:
1-Reading, which represents the data that the app will receive from the user.
2-Processing, in this step the app will start to process the user input about the place and take the latest updated images provided from NASA's satellites and compare it to the standard images of the place by image processing (using AI) and decide if the place is crowded with the danger of COVID-19 spreading or not.
3-Writing, in this step the app prints the result of the image processing and show it to the user.
https://drive.google.com/open?id=1yEeM-ly17wzZelVjmZxO6JcAorDJfxzZ
https://www.nasa.gov/sites/default/files/atoms/files/earth_at_night.pdf
https://earthobservatory.nasa.gov/images/146481/nighttime-images-capture-change-in-china
https://geoawesomeness.com/nighttime-satellite-images-of-china-reflect-covid-19-lockdown-impact/
https://spaceplace.nasa.gov/x-ponder/en/
https://www.nasa.gov/feature/nasa-probes-environment-covid-19-impacts-possible-links
https://gpm.nasa.gov/science/multi-satellite-algorithms