Machine Learning for Flutter - The Complete Mobile ML Guide (Udemy.com)

Note: Lectures and Resources are updated in April 2024

Welcome to the Machine Learning for Flutter - The Complete Flutter ML 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 have background working knowledge of Machine learning and computer vision to use ML models inside Flutter 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.

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 own custom machine-learning models and build Flutter applications

3. Train Machine Learning models on Custom datasets for Image Classification and object Detection

4. Choosing images from the gallery and 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 important 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

• Image classification Flutter application using images of gallery and camera

• Image classification 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

  
  

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 own Image classification models without having any background knowledge of Machine Learning. So we will learn to

• Gather and arrange the data set for the machine learning model training

• Training Machine learning on some platforms with just a few clicks

So in that section, we will

• Train a dog breed classification model for Flutter

• Build a Flutter ( Android & IOS ) application to recognize different breeds of dogs

• 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