What it does
The app provides the users detailed information about the products from the migros store.
How we built it
We used Angular as our frontend and NestJs as our Backend Framework. We also used the Migros API and Google Could Platform.
We trained the Machine Learning model on a handful of manually labelled and at the hackathon taken images of the following products:
- Kult Ice Tea Pfirsich (0.5l): https://produkte.migros.ch/kult-ice-tea-pfirsich-120299300000
- M-Classic Chicken Sandwich: https://produkte.migros.ch/m-classic-chicken
- Pepsi Twist (0.33l): https://produkte.migros.ch/pepsi-twist
- Pepsi Regular (0.33l): https://produkte.migros.ch/pepsi-regular
- YOU Powerful Mix: https://produkte.migros.ch/you-powerful-mix
- Risoletto Classic: https://produkte.migros.ch/risoletto-classic-101503600000
Challenges we ran into
We tried to connect to the eaternity API provided by the IBM/SwissRe challenge, but simply cant get the migros products processed to get useful outputs.
Accomplishments that we're proud of
Delivering an new awesome possible solution for blind customers.
What's next for OHO
There are so many possible integrations, having the digital product twin on my hand. One could integrate with some "digital pill" for diabetes, make a connection to your personal nutritionist and so on...
Built With
- angular-material
- angular.js
- docker
- font-awesome
- google-vision
- node.js
- progressive-web-app


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