Panicdemic

Expanding timelines, shrinking panic time.

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Inspiration

The current coronavirus models stop somewhere mid-fall, and models fail to take into account the second wave in the fall, which causes mass uncertainty within the population. We here at Panic-demic want to reduce this uncertainty, which, is much better in the long run.

What it does

Using the currently available data from the census bureau, John Hopkins University, and machine learning, to create a heat map of the united states to simulate the spread of COVID-19 over a period of time. Our vision is for users to be able to adjust certain parameters, but our current minimum-viable-product allows users to change the number of people social distancing and self-isolating. There's also a value which is based on the slider which informs the user of the number of omitted infections from social-distancing which encourages social distancing.

How I built it

  • React Native for mobile app
  • Python3 for machine learning

Challenges I ran into

  • The machine learning was much more challenging than expected
  • Extracting data from different sources

Accomplishments that I'm proud of

  • The front end (all credit to Abstract)
  • How much machine learning we got done, despite our struggles

Machine learning

https://colab.research.google.com/drive/1m8yrgC0C2Pc21FS3V-67Vzg4XlneQ_g7

What I learned

  • Experience with machine learning

What's next for titanhacks

The next step for us would be to launch this into the play store.

Discord usernames:

AbstractUltra#5909 - Dragon He - John Fraser Secondary School, Mississauga, Ontario, Canada
Fermium100#3102 - Luke Zhang - Sir John A Macdonald SS, Waterloo, Ontario, Canada
Ethan_Lim#3040 - Ethan Lim - SJAM
Sohil#9191 - Sohil - Sir John A Macdonald SS, Waterloo, Ontario, Canada

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