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You will be updated with latest job alerts via emailCrossplatform frameworks like ReactNative and Flutter has enabled developers to use a single language and code base to develop apps for both iOS and Android. With the growing popularity for machinelearning based applications crossplatform options for machinelearning runtimes has emerged. An example of this is the ONNX runtime which enables machinelearning models to run on a large verity of devices and operating systems including mobile devices. Today Apple and Google have their own runtimes for iOS (Core ML) and Android (ML Kit). This thesis aims to investigate and compare the native mobile runtimes for Android and iOS and see how they compare to a cross platform solution like ONNX.
Bachelor/Master of Science in Computer Science/Engineering
In this Thesis design and implement three different mobile apps. A naive Android app a native iOS app and lastly a cross platform app. The apps should have the same functionality and implement the same ML model and compare how they perform and if there are any drawbacks to using the crossplatform solution.
In this thesis investigate these questions:
References:
Core ML
Full Time