Machine Learning for Flutter - The Complete 2023 Guide

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What you'll learn
Learn Use of Machine Learning & Computer Vision in Flutter
Train Machine Learning Models on your Custom Datasets
Use Pre-Trained Tensorflow Lite Models in Flutter
Train Custom Models for Object Detection
Train Custom Models for Image Classification
Use Computer vision models with both images & Live Camera Footage
Text Recognition In Flutter
Face & Facial Landmarks, contours & expression detection in Flutter
Text Translation in Flutter
Human Pose Estimation in Flutter
Image Labeling / Image Classification in Flutter
Object Detection in Flutter
Recognize handwritten text / Digital Ink Recognition in Flutter
Smart Reply in Flutter
Entity Extraction in Flutter
Barcode Scanning in Flutter

Requirements
A little Knowledge of App Development in Flutter

Description
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.What we will cover in this course?Learning the use of existing machine learning models in Flutter (Android and IOS) applicationsLearn to train your own custom machine-learning models and build Flutter applicationsTrain Machine Learning models on Custom datasets for Image Classification & Object DetectionChoosing images from the gallery ad capturing images using the camera  in FlutterDisplaying live camera footage and fetching frames of live camera footage in FlutterImage classification with images and live camera footage in Flutter (Android and IOS)Object Detection with Images and Live Camera footage in Flutter (Android and IOS)Image Segmentation to make images transparent in Flutter (Android and IOS)Barcode Scanning in Flutter to scan barcodes and QR codesPose Estimation in Flutter to detect human body jointsText Recognition in Flutter to recognize text in imagesText Translation in Flutter to translate between different languagesFace Detection in Flutter to detect faces, facial landmarks, and facial expressionsSmart Reply in FlutterDigital Ink Recognition in FlutterLanguage Identification in FlutterTraining image classification models for Flutter (Android and IOS) applicationsTraining object detection models for Flutter (Android and IOS) applicationsRetraining existing machine learning models with transfer learning for Flutter (Android and IOS) applicationsUsing our custom machine learning models in Flutter (Android and IOS) applicationsCourse structureWe will start by learning about two important librariesImage Picker: to choose images from the gallery or capture images using the camera in FlutterCamera: to get live footage from the camera frame by frame in FlutterSo 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 areImage labeling Flutter application using images of gallery and cameraImage labeling Flutter application using live footage from the cameraBarcode Scanning Flutter application using images of gallery and cameraBarcode Scanning Flutter application using live footage from the cameraText Recognition Flutter application using images of gallery and cameraText Recognition Flutter application using live footage from the cameraFace Detection Flutter application using images of gallery and cameraFace Detection Flutter application using live footage from the cameraObject Detection Flutter application using images of gallery and cameraObject Detection Flutter application using live footage from the cameraSmart Reply Flutter Application to generate smart reply suggestions in chat applicationsDigital Ink Recognition Application to Recognize handwritten textEntity Extraction Flutter Application to extract different entities from textPose Detection Flutter application using images of gallery and cameraPose Detection Flutter application using live footage from the cameraText Translation Flutter Application to translate between any two languageLanguage Identification Flutter Application to identify the language of textAfter 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 sectionImage classification Flutter application using MobileNet & EfficientNet modelsRealtime Image classification Flutter application using MobileNet & EfficientNet modelsObject detection Flutter application using MobileNet & EfficientNet modelsRealtime Object detection Flutter application using MobileNet & EfficientNet modelsAfter 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 & object detection models without knowing any background knowledge of Machine Learning. So we will learn toGather and arrange the dataset for the machine learning model training Train Machine Learning Models for Image Classification & Object DetectionTest those modelsConvert models into TensorFlow lite formatUse them in Flutter with Images & Live Camera FootageSo in that section, we willTrain 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 Kit for FlutterPretrained TensorFlow lite models for Flutter Training image classification models for FlutterIn the first section, we will learn the use of Firebase ML Kit inside the Flutter dart applications for common use cases likeImage Labeling in Flutter with Images and live camera footageBarcode Scanning in Flutter with Images and live camera footageText Recognition in Flutter with Images and live camera footageFace Detection in Flutter with Images and live camera footageObject Detection in Flutter with Images and live camera footagePose Detection in Flutter with Images and live camera footageSmart Reply in FlutterText Translation in FlutterLanguage Identification In FlutterDigital Ink Recognition in FlutterEntity Extraction in FlutterSo 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 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 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 own 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. So in the third section, you will learn toCollect and arrange the dataset for model trainingRetraining existing models using Transfer LearningUsing those trained models inside Google Flutter dart ApplicationsSo we will train the models to recognize different fruits and then build Google Flutter Applications using those 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 IOSUse pre-trained Tensorflow lite models inside Android & IOS applications using Google Flutter dartTrain your own Image classification & Object Detection models and build Flutter applications.You'll also have a portfolio of over 20 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 so confident that you'll love this course and you will also get 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 FlutterAn intermediate Flutter ( Dart ) developer wanted to build a powerful Machine Learning-based application in Google FlutterExperienced Flutter ( Dart ) developers wanted to use Machine Learning 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 models for Image Classification & Object Detection

Who this course is for
Anyone who took Basic Flutter course before
Beginner Flutter Developer curious about Machine learning and computer vision use in Flutter
Experienced Professional want to add ML models in their Flutter Applications
App developer want to learn use of Machine learning in their Flutter Applications
Intermediate Flutter developers looking to enhance their skillset