Machine Learning use in Flutter The Complete Guide | Mobile Development Online Course by Udemy

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Learn use of Firebase ML Kit & TensorFlow lite in Flutter, Train ML models for Flutter 15+ ML Flutter Dart Applications

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Machine Learning use in Flutter The Complete Guide

Welcome to the Machine Learning use in Flutter, The complete guide course. Covering all the fundamental concepts of using ML models inside Flutter applications, this is the most comprehensive and only Google Flutter ML course available online. We built this course over months, perfecting the curriculum, and covering everything that will help you learn to use Machine Learning models inside Flutter dart applications. This course will teach you to build powerful ML-based applications in Google Flutter for Android and IOS devices. 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 them. 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 advance tflite models along with a firebase ml kit in your Flutter ( Android & IOS ) applications. Course structureWe will start by learning about two important librariesImage Picker: to chose images from the gallery or capture images using the cameraCamera: to get live footage from the camera frame by frameThen 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 applications using each feature. The applications we will build in that section areImage labeling Flutter ( Android & IOS ) application using images of gallery and cameraImage labeling Flutter ( Android & IOS ) application using live footage from the cameraBarcode Scanning Flutter ( Android & IOS ) application using images of gallery and cameraBarcode Scanning Flutter ( Android & IOS ) application using live footage from the cameraText Recognition Flutter ( Android & IOS ) application using images of gallery and cameraText Recognition Flutter ( Android & IOS ) application using live footage from the cameraFace Detection Flutter ( Android & IOS ) application using images of gallery and cameraFace Detection Flutter ( Android & IOS ) application using live footage from the cameraAfter 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 models and build the following Google Flutter applications in this sectionImage classification Flutter ( Android & IOS ) application using images of gallery and cameraImage classification Flutter ( Android & IOS ) application using live footage from the cameraObject detection Flutter ( Android & IOS ) application using images of gallery and cameraObject detection Flutter ( Android & IOS ) application using live footage from the cameraHuman pose estimation Flutter ( Android & IOS ) application using images of gallery and cameraHuman pose estimation Flutter ( Android & IOS ) application using live footage from the cameraImage Segmentation Flutter ( Android & IOS ) application using images of gallery and cameraImage Segmentation Flutter ( Android & IOS ) application using live footage from the cameraAfter that, we will learn to use Regression models in Google Flutter and build a couple of applications includingBasic Regression Example for Android and IOSFuel Efficiency predictor for vehicles for Android and IOSAfter 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 knowing any background knowledge of Machine Learning. So we will learn toGether and arrange the data set for the machine learning model training Training Machine learning some platforms with just a few clicksSo in that section, we willTrain dog breed classification modelBuild a Flutter ( Android & IOS ) application to recognize different breeds of dogsTrain Fruit recognition model using transfer learningBuilding a Flutter ( Android & IOS ) application to recognize different fruitsSo the course is mainly divided into three major sectionsFirebase ML KitPretrained TensorFlow lite modelsTraining image classification modelsIn the first section, we will learn the use of Firebase ML Kit inside the Flutter dart applications for common use cases likeImage LabelingBarcode ScanningText RecognitionFace DetectionSo 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 you 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 fe

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