Inspiration
As Americans, we fly a lot. With this, we have experienced our fair share of travel delays. But, surprisingly, most travel delays are caused by the travelers themselves!
The problem mainly arises from the fact that many customers place more than one item in the overhead bin, causing the overhead storage to overflow and other customers to have to check their luggages at the gate.
What it does
Our app encourages flyers to utilize the storage below the seat in front of them by rewarding them with miles, thus alleviating the burden from the airline! Users submit a photo of the seat in front of them after boarding and taking their seat, and our application will take care of the rest!
Ultimately, our hope is to encourage customers to check their luggage and save valuable storage for those who need it and bring on personal items.
How we built it
We used React Native for the native app, Node.js for the backend, and AutoML for the Machine Learning.
Challenges we ran into
We didn't start coding until 11 PM because we didn't have an idea. We also spent way too much time connecting to the Google Cloud Platform API.
Accomplishments that we're proud of
We got something working in less than half of the time we were given for the hackathon.
What we learned
Ideate early & AutoML is a bad choice.
What's next for Check Yourself Before You Check-in
- A more appealing user interface
- A better trained model
- Ability to scan the luggage, recognize its size, and tell the customer where to put it.
Built With
- automl
- convolutional-neural-network
- css3
- expo.io
- google-cloud
- html5
- javascript
- jest
- macbook
- node.js
- postman
- react
- react-native
- restful-web-services
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