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Sorted³ - Take Home Challenge

Introduction

Apple introduced an exciting set of features with CoreML in 2019. It makes machine learning approachable to everyone. With CreateML, we can now customize a pre-trained model to fit our needs. Furthermore, CoreML provides the capability to personalize each one's experience on device.

A good example would be the use of Face ID. It learns about your face over time and refines its model on device, without ever sending the data to server for processing. This ensures both privacy and efficiency.

Recommended Watching

Deliverable

Study Create ML and Core ML, then implement a sample project on text classification.

  • Given a number of titles, we want Core ML to classify them into categories.
  • Provide suggestions to user
  • Include test cases

Submission

You're free to pick the technologies of your choice, as long as it is presented in a native iOS or macOS app.

You'll be assessed based on code quality and test coverage. Please create a private repo for your submission and share it to user harryworld on GitHub or email the zipped project to [email protected]