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CSYE7200_Scala_Project_Team7

Yelp Image Classification Model - using scala, deeplearning4j Team7_UI - using Play and Scala

Build a predictive model which classify user-submitted photos and automatically tag restaurants with multiple labels

  • 0: good_for_lunch
  • 1: good_for_dinner
  • 2: takes_reservations
  • 3: outdoor_seating
  • 4: restaurant_is_expensive

Infrastructure used in this project:

  • User Interface – PlayFramework, Scala Controllers, Lightbend Activator JavaScript, Bootstrap, CSS, HTML
  • Database – In memory database (MySQL) and Slick for database querying
  • Apache Spark – Scala Integration – Convolutional Neural Network Algorithm implemented in Scala using DeepLearning4J.
  • Data Cleaning & Preparation – Scala, MS Excel

Magnitude of Dataset:

  • train_photos.tgz - photos of the training set (234,545 images)
  • test_photos.tgz - photos of the test set (500 images)
  • train_photo_to_biz_ids.csv - maps the photo id to business id (234,545 rows)
  • test_photo_to_biz_ids.csv - maps the photo id to business id ( 500 rows)
  • train.csv - main training dataset. Includes the business id's, and their corresponding labels. (1996 rows)