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A project for Bangkit 2021 Capstone.

Grab & Go for Android

Grab & Go is an object detection based shopping app. Users can use their camera to add items into their cart and pay them directly from their own smartphones

Currently our model supports classification of 6 classes:

  1. BBQ Chitato
  2. Pepsodent
  3. Aqua bottle
  4. Lifebuoy shampoo
  5. Nice tissue
  6. Indomie

welcome_screen home camera

cart checkout_done


Dataset used for the model

https://www.kaggle.com/hafizyusufheraldi/retail-product-dataset


Libraries used

  • ViewBinding
  • Lifecycles
  • LiveData
  • ViewModel
  • Retrofit
  • Navigation
  • Dagger-Hilt
  • Kotlin Coroutines
  • Firebase-auth
  • Camerax

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Easy Shopping at Retail with Automatic Checkout AI

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