Team 23_COVID Trails

Consumers often find it difficult to follow CDC guidelines for social distancing. COVID Trails keeps track of interactions for clients, and alerts them if they have come across an infected individual.

Comment

Inspiration

"Find My Friend" app on iphones is an easy way of tracking people locally. We wanted to utilize that idea to create a contact tracing app capable of anonymous tracking of potential positive cases.

What it does

Widespread anonymous contact tracing using phone GPS to track potential positive COVID-19 cases.

How we built it

  • Using python and the kivy GUI we created a demo for our app interface
  • The final app implementation will utilize the plyer module to access a device’s gps as well as a server built through flask
  • Create a data structure to store contacts with current time

Challenges we ran into

  • Communication via online platform was challenging.
  • Required research into preferable languages, capabilities of different web servers, GUIs and languages to meet our problem statement needs.
  • Couldn't make a proper skit with all the group members in attendance ==> this resulted in a reimprovised video for submission.

Accomplishments that we're proud of

  • Protects privacy by allowing for anonymity
  • User friendly
  • Verification process

What we learned

  • Python and Kivy GUI
  • Facts about COVID-19 and social distancing
  • Got better at communicating online for effective teamwork.

What's next for COVID Trails

  • Plan to work with a reliable verification network
  • Broaden the scope of the app to person-place contact tracing

Built With

  • date
  • datetime
  • flask
  • framework
  • gui
  • kivy
  • mac-os
  • module
  • plyer
  • pyler
  • python
  • time
Share this project:

Updates