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Intelligent Shelf Recommender

Make NTU Hackathon program

Motivation

  • Being hard to choose what you want.
  • Hard to get product on a high shelf.
  • Providing more intelligent and comfortable shopping experience.

Features

  • Intelligent recommender system.
  • Being able to get product on a high shelf.
  • Using compact devices.

Techniques

  • OpenCV - to obtain training data for CNN model.
  • CNN - to calculate observation time of products as DNN features.
  • DNN - analysis of behavior and recommendation.
  • Arduino Uno

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Make NTU Hackathon program

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