We used population data to make an estimate of higher risk areas and presented this information in an easily understandable way, so that the general public can then make informed decisions to both avoid the virus and avoid spreading the virus. Our team saw a clear link between population density and the spread of the virus and used this as our main calculation when trying to define high danger areas.
We drew inspiration from S. Korea's amazing Covid19 response, where they notified the population of high risk areas to limit the spread of the virus. We wanted to produce a webapp that was both easily accessable and usable to do something similar. Django, Python, Javascript, CSS, and HTML were all used in the creation of SafeShopping. Our team has successfully completed a working prototype. We had a few limits with the data and also could use more refinement in all aspects of the app, however, we are still very proud of what we have accomplished.
https://docs.google.com/presentation/d/1EjifQES0foECMT239mv2ZYZE260c7NkClRdV0kQ1CNE/edit?usp=sharing
Google Maps API, OpenStreetMap API