Software Engineer building cool Android applications https://speakerdeck.com/ifeomaro 2018-11-23 12:21:55 -0500 This was a talk given at #PhillyETE 2019. Here's the YouTube video: https://bit.ly/phillyete19_flutter_mlkit_video Here's the abstract: Getting started with machine learning on the mobile platform can be daunting. From learning how to implement low-level models and use frameworks, to optimizing and adapting those models for mobile, it can be overwhelming. With ML Kit, regardless of one’s machine learning expertise, one can build compelling machine learning functionality into their mobile apps. Using ML Kit and Flutter, which is Google’s mobile SDK for building native Android and iOS apps from a single codebase, one can build apps with machine learning capabilities like face detection and image labeling, for both Android and iOS platforms in record time! This talk will be guided by the following objectives: - An introduction to Flutter and to ML Kit - Determining how to use Flutter to leverage ML Kit’s functionalities - Exploring ML Kit’s on-device features that are currently available, which are text recognition, face detection, barcode scanning and image labeling. - Equipping attendees with the knowledge they need to build a smart Flutter application with ML Kit. #flutter #mlkit #machinelearning This was a talk given at #PhillyETE 2019. Here's the YouTube video: https://bit.ly/phillyete19_flutter_mlkit_video Here's the abstract: Getting started with machine learning on the mobile platform can be daunting. From learning how to implement low-level models and use frameworks, to optimizing and adapting those models for mobile, it can be overwhelming. With ML Kit, regardless of one’s machine learning expertise, one can build compelling machine learning functionality into their mobile apps. Using ML Kit and Flutter, which is Google’s mobile SDK for building native Android and iOS apps from a single codebase, one can build apps with machine learning capabilities like face detection and image labeling, for both Android and iOS platforms in record time! This talk will be guided by the following objectives: - An introduction to Flutter and to ML Kit - Determining how to use Flutter to leverage ML Kit’s functionalities - Exploring ML Kit’s on-device features that are currently available, which are text recognition, face detection, barcode scanning and image labeling. - Equipping attendees with the knowledge they need to build a smart Flutter application with ML Kit. #flutter #mlkit #machinelearning Wed, 24 Apr 2019 00:00:00 -0400 https://speakerdeck.com/ifeomaro/flutter-plus-ml-kit-building-smart-cross-platform-apps https://speakerdeck.com/ifeomaro/flutter-plus-ml-kit-building-smart-cross-platform-apps These are the slides for my presentation at Droidcon San Francisco 2018. Google slides presentation here: https://bit.ly/dcsf18_flutter_mlkit Youtube video of the talk: https://bit.ly/dcsf18_flutter_mlkit_video Talk proposal: Getting started with machine learning on the mobile platform can be daunting. From learning how to implement low-level models and use frameworks, to optimizing and adapting those models for mobile, it can be overwhelming. With ML Kit, regardless of one’s machine learning expertise, one can build compelling machine learning functionality into their mobile apps. Using ML Kit and Flutter, which is Google’s mobile SDK for building native Android and iOS apps from a single codebase, one can build apps with machine learning capabilities like face detection and image labeling, for both Android and iOS platforms in record time! This talk will be guided by the following objectives: - An introduction to Flutter and to ML Kit - Exploration of some of the key functionalities that ML Kit offers such as text recognition and landmark recognition. - Determining how to use Flutter to leverage ML Kit’s functionalities - Exploring ML Kit’s on-device features that are currently available, which are text recognition, face detection, barcode scanning and image labeling. - Equipping attendees with the knowledge they need to build a smart Flutter application with ML Kit. These are the slides for my presentation at Droidcon San Francisco 2018. Google slides presentation here: https://bit.ly/dcsf18_flutter_mlkit Youtube video of the talk: https://bit.ly/dcsf18_flutter_mlkit_video Talk proposal: Getting started with machine learning on the mobile platform can be daunting. From learning how to implement low-level models and use frameworks, to optimizing and adapting those models for mobile, it can be overwhelming. With ML Kit, regardless of one’s machine learning expertise, one can build compelling machine learning functionality into their mobile apps. Using ML Kit and Flutter, which is Google’s mobile SDK for building native Android and iOS apps from a single codebase, one can build apps with machine learning capabilities like face detection and image labeling, for both Android and iOS platforms in record time! This talk will be guided by the following objectives: - An introduction to Flutter and to ML Kit - Exploration of some of the key functionalities that ML Kit offers such as text recognition and landmark recognition. - Determining how to use Flutter to leverage ML Kit’s functionalities - Exploring ML Kit’s on-device features that are currently available, which are text recognition, face detection, barcode scanning and image labeling. - Equipping attendees with the knowledge they need to build a smart Flutter application with ML Kit. Tue, 20 Nov 2018 00:00:00 -0500 https://speakerdeck.com/ifeomaro/flutter-plus-mlkit-building-smart-cross-platform-applications https://speakerdeck.com/ifeomaro/flutter-plus-mlkit-building-smart-cross-platform-applications