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Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

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skafos/BootFinder

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Boot Finder: Use your camera to find boots!

Available on the Apple App Store: Boot Finder

Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

Apps like Boot Finder represent a whole new customer acquisition channel for retail organizations. Contact us today if you're interested in a similar application for your business!

We've open-sourced this project to help others in their journey to build ML-powered applications. It represents only one of many ML-driven solutions to common business problems.

The app was built using Turi Create and Core ML powered by the Skafos.ai platform.

The boots are sourced from Zappo's and updated models are retrained daily. Once trained, they are ready for delivery to your phone by clicking the "Check for Updates" button in the app. Model training code can be found here.

Instructions

Project Setup Steps:

  1. Clone or fork this repository.
  2. In the project directory, run pod install
  3. Open the project workspace (.xcworkspace) | WARNING: Not doing this will result in errors!
  4. In your project's settings under General change the following:
    • Display Name
    • Bundle Identifier
    • Team
    • Any other settings specific to your app.
  5. If you want to change the model code to suit your purposes, see here.

See Skafos documentation for more information.

Please let us know how we can make this better by contacting us at info@skafos.ai or visiting our website.

Fire it up!

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Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

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