Inspiration

We took inspiration from the crowd control methods used during Covid-19. We thought about ways to reduce crowds as much as possible and realized that overcrowding at drop off points is a common issue during Covid-19.

What it does

Valet Parker

  • Carpark capacity tracking
  • Car status
  • Car location (parking lot)

Valet User

  • Advance collection service

How we built it

  • We used Flask as the middle layer, Vue as our front end and Firebase as our DB. We have also used Node.

Challenges we ran into

  • Most of us are more familiar with backend development only.
  • We have 2 ends to the project which needed management.

Accomplishments that we're proud of

  • Functions discussed were complete and almost production ready.

What's next for ValetEZ

We would implement:

  • Migration from web to mobile application to improve user experience.
  • Live tracking function and notification to better inform the user.
  • Chat system to communicate with the valet driver.
  • Dockerization.
  • Deployment of Flask service on Google Cloud.

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