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

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

Additional resources

• Machine learning model

  • https://colab.research.google.com/drive/1FzWikcT1_xjw6Ze-1gxjoUW8GWk_N2uU?usp=sharing

• Dataset repository

  • https://github.com/dzakwansilverdi/grab-and-go-dataset

• Server backend repository

  • https://github.com/dzakwansilverdi/grab-and-go-core