We are always looking for team members like you: Are you interested in technology? Do you want to change the retail industry together with us? You cannot wait for the future to happen? Join us now as a Bachelor or Master student, Intern or Full-time PhD/Doctoral candidate.
- Master Thesis: Data Science Thesis (Predicting Nutrition
from Shopping Data, e.g. Cumulus, Supercard)
Our research project “Receipt2Nutrition” is the world’s first large-scale voluntary panel that contributes digital receipt data from loyalty cards anonymously to assess the data’s potential to predict dietary behaviour automatically.
You will use computer vision and machine learning to predict for a product image (i.e. 2D images), its corresponding product category (e.g. italian dish) and confidence for your respective prediction. Therefore, you can use existing computer vision tools, e.g. Keras, PyTorch, Tensorflow.
You will use computer vision to identify food products from a printed receipt. Further, you build a Unity application for Mobile or Hololens/MagicLeap in which users will become able to see the health impact of purchased groceries.
You will use computer vision to identify food products and build a Unity application for Hololens in which users will become able to see the health impact of ingredient data. The app will then help the user to make the healthiest choice amongst the given alternatives.
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