To help Kaufland to change the world by better organising the shelf

What it does

Use a camera on a phone to recognise products (without the need of scanning barcode)

How we built it

  1. Use CNN (machine learning) to train a products recognition model.
  2. Convert the trained model (in Keras' format) to Apple CoreML Model.
  3. Build a demo app to use the model and display the result. ## Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for EzDetect

Built With

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