Build Smarter Apps with Flutter & Machine Learning

Transcript

1. Build Smarter Apps with Flutter & Machine Learning SivamuthuKumar Flutter

   Mumbai – July 2020

2. Agenda • Flutter & Machine Learning • Build ML models

   – GCP ML Offerings • ML Inference on device/edge • Demo

3. Sivamuthu Kumar Software Architect, Computer Enterprise Inc, Cloud, Mobile, IoT,

   ML Orlando, FL ksivamuthu ksivamuthu ksivamuthu

4. Flutter

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7. Machine Learning

8. Machine Learning Artificial Intelligence – AI Science of getting machines

   to do the things what they do in movies. (Mimic human behavior) Machine Learning – ML Subset of AI - The science of getting computers to act without being explicitly programmed. Deep Learning Subset of ML - Learning based on deep neural network.

9. Google’s AI Building Blocks

10. AI building blocks make it easy to add the human

    like capabilities of sight, language, and conversation to your applications.

11. Machine Learning APIs Pre trained models ML Engine / Deep

    Learning VMs Custom Models Cloud AutoML Application Developers Data scientists & Practitioners @ksivamuthu Spectrum of AI Building Blocks

12. Cloud Vision Cloud Speech Cloud Natural Language Cloud Video Intelligence

    Cloud Translation @ksivamuthu Fully trained, easy to use ML models

13. Machine Learning APIs

14. TensorFlow TPUs Google Machine Perception Pre-trained ML APIs and AutoML

    Energy Auto Finance Entertainment Media Manufacturing / Agriculture Retail @ksivamuthu

15. Ensure Mask

16. Ensure Mask • Preparing Dataset • Training • Evaluation •

    Exporting model to run in Edge/Device • Running inference in device

17. Google Cloud AutoML Vision

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20. Flutter ML Libraries • mlkit • firebase_ml_vision • tflite

21. Code walkthrough

22. Thank you Sivamuthu Kumar ksivamuthu