Inspiration
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
- Use CNN (machine learning) to train a products recognition model.
- Convert the trained model (in Keras' format) to Apple CoreML Model.
- 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
- ios
- keras
- machine-learning
- python
- swift
- tensorflow
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