HealthyLuncher-Demo

HealthyLuncher was created as a demo project for a CreateML blogpost. It uses:

• CoreML
• NaturalLanguage
• Vision

frameworks in order to demonstrate Machine Learning models for image, text & data table classifications.

Images

HealthyLuncher enables us to predict based on the photo of the lunch whether it is healthy or not. Currently user can chose pictures only from the Photo Library for easier feature testing on the simulator.

Text

User can also classify whether his lunch is healthy or not by typing his lunch in the text screen.

Data Table

The third data table screen demonstrates the Tabular Data classification.

Tools

• Xcode 10.1

Configuration

• Clone the repository
• Open .xcodeproj file and build the project

Where To Go From Here

You can use HealthyLuncher-Demo for testing your Machine Lerning models. Two things to keep in mind:

1. Add new models and change their names if neeeded in ImageClassificationService, TextViewController or DataTableViewController
2. Update class labels if needed in Prediction.swift