In light of the recent pandemic and the way that many governments weren't able to handle the allocation of resources properly we thought it would be a good idea to create an application that would help the government visualize the allocation of these resources.
What it does
The application outputs a list of the most prevalent diseases from each appropriate state that is selected by the user.
How we built it
We built the backend utilizing python and pandas. The UI was built utilizing flask and bootstrap.
Challenges we ran into
We ran into challenges picking a dataset that we found fitting when it came to displaying the right results that we wanted.
Accomplishments that we're proud of
We're proud to have created an application that successfully achieves this and allows the user to be able to retrieve a list of the most prevalent diseases in each state. We were new to bootstrap and flask, and we were able to learn them and create an application.
What we learned
Through this, we realized that public health datasets are able to portray a lot of helpful and powerful information that can be used for a lot of good. In our case helping the government allocate the proper resources to the appropriate states for use.
What's next for Prep4Pandemic
We could add more features in terms of statistics like how many cases are in the state for the outputted diseases. We could also have a feature that may tell the user what diseases have been increasing in case count by a significant amount in a short amount of time.
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