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.
Built With
- flask
- vue
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