Machine Learning for Flutter – The Complete 2023 Guide

Welcome to the



Machine Learning use in Flutter The Complete 2023 Guide



.

Covering all the fundamental concepts of using



ML



models inside



Flutter



applications, this is the most comprehensive



Google Flutter ML



course available online.

The important thing is you don’t need to know background working knowledge of Machine learning and computer vision to use ML models inside Flutter ( Dart ) and train your custom machine, learning models.

Starting from a very simple example course will teach you to use advanced ML models in your Flutter ( Android & IOS ) applications. So after completing this course you will be able to use both simple and advanced



Tensorflow lite



models along with a



Firebase ML Kit



in your



Flutter



( Android & IOS ) applications. So a complete computer vision package for Flutter.

What we will cover in this course?

1. Learning the use of existing machine learning models in Flutter (Android and IOS) applications
2. Learn to train your custom machine-learning models and build Flutter applications
3. Train Machine Learning models on Custom datasets for Image Classification & Object Detection
4. Choosing images from the gallery ad capturing images using the camera  in Flutter
5. Displaying live camera footage and fetching frames of live camera footage in Flutter
6. Image classification with images and live camera footage in Flutter (Android and IOS)
7. Object Detection with Images and Live Camera footage in Flutter (Android and IOS)
8. Image Segmentation to make images transparent in Flutter (Android and IOS)
9. Barcode Scanning in Flutter to scan barcodes and QR codes
10. Pose Estimation in Flutter to detect human body joints
11. Text Recognition in Flutter to recognize text in images
12. Text Translation in Flutter to translate between different languages
13. Face Detection in Flutter to detect faces, facial landmarks, and facial expressions
14. Smart Reply in Flutter
15. Digital Ink Recognition in Flutter
16. Language Identification in Flutter
17. Training image classification models for Flutter (Android and IOS) applications
18. Training object detection models for Flutter (Android and IOS) applications
19. Retraining existing machine learning models with transfer learning for Flutter (Android and IOS) applications
20. Using our custom machine learning models in Flutter (Android and IOS) applications

Course structure

We will start by learning about two critical libraries

1. 
   
   Image Picker
   
   
   
   : to choose images from the gallery or capture images using the camera in Flutter
2. 
   
   Camera
   
   
   
   : to get live footage from the camera frame by frame in Flutter

So later we can use a computer vision model with both images and live camera footage in Flutter.

Then we will learn about the



Firebase ML kit



and the features it provides. We will explore the features of the



Firebase ML Kit



and build two flutter applications using each feature.

The flutter applications we will build in that section are

• Image labeling Flutter application using images of gallery and camera
• Image labeling Flutter application using live footage from the camera
• Barcode Scanning Flutter application using images of gallery and camera
• Barcode Scanning Flutter application using live footage from the camera
• Text Recognition Flutter application using images of gallery and camera
• Text Recognition Flutter application using live footage from the camera
• Face Detection Flutter application using images of gallery and camera
• Face Detection Flutter application using live footage from the camera
• Object Detection Flutter application using images of gallery and camera
• Object Detection Flutter application using live footage from the camera
• Smart Reply Flutter Application to generate smart reply suggestions in chat applications
• Digital Ink Recognition Application to Recognize handwritten text
• Entity Extraction Flutter Application to extract different entities from text
• Pose Detection Flutter application using images of gallery and camera
• Pose Detection Flutter application using live footage from the camera
• Text Translation Flutter Application to translate between any two language
• Language Identification Flutter Application to identify the language of text

After learning the use of Firebase ML Kit inside Google Flutter (Android& IOS) applications we will learn the use of popular pre-trained



TensorFlow lite



models inside



Google Flutter



applications. So we explore some popular machine learning models and build the following Google Flutter applications in this section

Machine Learning for Flutter – The Complete 2023 Guide

• Image classification Flutter application using MobileNet & EfficientNet models
• Realtime Image classification Flutter application using MobileNet & EfficientNet models
• Object detection Flutter application using MobileNet & EfficientNet models
• Realtime Object detection Flutter application using MobileNet & EfficientNet models

So you will be able to train computer vision models for Android & IOS using Flutter.

After learning the use of pre-trained machine learning models using Firebase ML Kit and Tensorflow lite models inside Flutter ( Dart ) we will learn to train our Image classification & object detection models without knowing any background knowledge of Machine Learning. So we will learn to

• Gather and arrange the dataset for the machine learning model training
• Train Machine Learning Models for Image Classification & Object Detection
• Test those models
• Convert models into TensorFlow lite format
• Use them in Flutter with Images & Live Camera Footage

So in that section, we will

• Train Fruit recognition model using
  
  
  
  Transfer learning
  
  
• Building a
  
  
  
  Flutter
  
  
  
  ( Android & IOS ) application to recognize different fruits

So the course is mainly divided  into three major sections

• 
  
  Firebase ML Kit
  
  
  
  for Flutter
• 
  
  Pretrained TensorFlow lite models
  
  
  
  for Flutter
• 
  
  Training image classification models
  
  
  
  for Flutter

In the first section, we will learn the use of Firebase ML Kit inside the Flutter dart applications for common use cases like

• Image Labeling in Flutter with Images and live camera footage
• Barcode Scanning in Flutter with Images and live camera footage
• Text Recognition in Flutter with Images and live camera footage
• Face Detection in Flutter with Images and live camera footage
• Object Detection in Flutter with Images and live camera footage
• Pose Detection in Flutter with Images and live camera footage
• Smart Reply in Flutter
• Text Translation in Flutter
• Language Identification In Flutter
• Digital Ink Recognition in Flutter
• Entity Extraction in Flutter

Machine Learning for Flutter – The Complete 2023 Guide

So we will explore these features one by one and build Flutter applications. For each of the features of the Firebase ML Kit, we will build two applications. In the first application, we are gonna use the images taken from the gallery or camera, and in the second application, we are gonna use the live camera footage with the Firebase ML model. So apart from simple ML-based applications, you will also be able to build real-time face detection and image labeling application in Google Flutter dart using the live camera footage. So after completing this section you will have a complete grip on Google Firebase ML Kit and also you will be able to use upcoming features of Firebase ML Kit for Google Flutter ( Dart ).

After covering the Google Firebase ML Kit, In the second section of this course, you will learn about using Tensorflow lite models inside Google Flutter ( Dart ). Tensorflow Lite is a standard format for running ML models on mobile devices. So in this section, you will learn the use of pretrained powered ML models inside Google Flutter dart for building

• Image Classification Flutter (
  
  
  
  ImageNet  model & EfficientNet model
  
  
  
  )
• Object Detection  Flutter (
  
  
  
  MobileNet model & EfficientNet model
  
  
  
  )

applications. So not only you will learn to use these models with images but you will also learn to use them with frames of camera footage to build real-time flutter applications. So a complete Flutter computer vision package for Flutter.

After learning the use of Machine Learning models inside Flutter dart using two different approaches in the third section of this course you will learn to train your Machine Learning models without any background knowledge of machine learning. So in that section, we will explore some platforms that enable us to train machine learning models for mobile devices with just a few clicks. In the third section, you will learn to

• Collect and arrange the dataset for model training
• Retraining existing models using Transfer Learning
• Using those trained models inside Google Flutter dart Applications

So we will train the models to recognize different fruits and then build Google Flutter Applications using those Computer Vision models for android and IOS.

By the end of this course, you will be able

• Use Firebase ML kit inside Google Flutter dart applications for Android and IOS
• Use pre-trained Tensorflow lite models inside Android & IOS applications using Google Flutter dart
• Train your Image classification & Object Detection models and build Flutter applications.

You’ll also have a portfolio of over 20 Machine Learning & Computer Vision based Flutter apps that you can show off to any potential employer.

Sign up today, and look forwards to:

• HD 1080p video content, everything you’ll ever need to succeed as a Google Flutter Machine Learning developer.
• Building over 20 fully-fledged flutter applications including ones that use Objet detection, Text Recognition, Pose estimation models, and much much more.
• All the knowledge you need to start building Machine Learning-based Flutter (Android or IOS) application you want
• $2500+ Source codes of 20 Applications.

REMEMBER… I’m confident you’ll love this course and get a 30-day money-back guarantee from udemy. So it’s a complete no-brainer, sign up today.

So what are you waiting for? Click the buy now button and join the world’s best Google Flutter ( Dart ) Machine Learning course.

Who this course is for:

• Beginner Flutter ( Dart ) developer with very little knowledge of mobile app development in Google Flutter
• An intermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google Flutter
• Experienced Flutter ( Dart ) developers wanted to use Machine Learning & computer vision models inside their applications.
• Anyone who took a basic flutter ( Dart ) mobile app development course before (like Flutter ( Dart ) app development course by angela you or other such courses).
• Developers Who want to train custom Machine Learning & computer vision models for Image Classification & Object Detection