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Machine Learning use in Flutter – The 2024 Flutter ML Guide

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Machine Learning use in Flutter – The 2024 Flutter ML Guide, available at $19.99, has an average rating of 4.8, with 194 lectures, based on 106 reviews, and has 891 subscribers.

You will learn about Learn use of Machine Learning & Computer Vision in Flutter Apps Train Machine Learning Models on Custom Datasets for Flutter Apps Use Pre-Trained Tensorflow Lite Models in Flutter Dart Apps Train Custom Object Detection & Image Classification Models and build Smart Flutter Dart Apps Use Computer vision models in Flutter with both images & Live Camera Footage Build A Text Recognition Application in Flutter Build A Face Detection and Facial Expression Detection Application in Flutter Build A Text Translation Application in Flutter Develop a Human Pose Estimation Application in Flutter Image Labeling / Image Classification in Flutter Perform Object Detection in Flutter with Images and Videos Add Smart Reply Suggestion Models in Chat based Flutter Apps Extract entities or valuable information from text in Flutter Create a barcode scanner app in Flutter Build Hand Writing Recognition Application in Flutter (Digital Ink Recognition) This course is ideal for individuals who are Anyone who took Basic Flutter course before or Beginner Flutter Developer curious about Machine learning and computer vision use in Flutter or Experienced Professional want to add ML models in their Flutter Applications or App developer want to learn use of Machine learning in their Flutter Applications or Intermediate Flutter developers looking to enhance their skillset It is particularly useful for Anyone who took Basic Flutter course before or Beginner Flutter Developer curious about Machine learning and computer vision use in Flutter or Experienced Professional want to add ML models in their Flutter Applications or App developer want to learn use of Machine learning in their Flutter Applications or Intermediate Flutter developers looking to enhance their skillset.

Enroll now: Machine Learning use in Flutter – The 2024 Flutter ML Guide

Summary

Title: Machine Learning use in Flutter – The 2024 Flutter ML Guide

Price: $19.99

Average Rating: 4.8

Number of Lectures: 194

Number of Published Lectures: 183

Number of Curriculum Items: 194

Number of Published Curriculum Objects: 183

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn use of Machine Learning & Computer Vision in Flutter Apps
  • Train Machine Learning Models on Custom Datasets for Flutter Apps
  • Use Pre-Trained Tensorflow Lite Models in Flutter Dart Apps
  • Train Custom Object Detection & Image Classification Models and build Smart Flutter Dart Apps
  • Use Computer vision models in Flutter with both images & Live Camera Footage
  • Build A Text Recognition Application in Flutter
  • Build A Face Detection and Facial Expression Detection Application in Flutter
  • Build A Text Translation Application in Flutter
  • Develop a Human Pose Estimation Application in Flutter
  • Image Labeling / Image Classification in Flutter
  • Perform Object Detection in Flutter with Images and Videos
  • Add Smart Reply Suggestion Models in Chat based Flutter Apps
  • Extract entities or valuable information from text in Flutter
  • Create a barcode scanner app in Flutter
  • Build Hand Writing Recognition Application in Flutter (Digital Ink Recognition)

Who Should Attend

  • 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

Target Audiences

  • 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

Welcome to Machine Learning in Flutter: The Complete Guide

Master the integration of machine learning models in your Flutter applications with the most comprehensive Google Flutter ML course available online.

No prior knowledge of machine learning or computer vision required! Whether you are a beginner or an experienced developer, this course will guide you through using and training machine learning models in Flutter (Android & iOS) applications.

What You Will Learn:

  • Utilize Existing ML Models: Learn to integrate pre-trained TensorFlow Lite models and Firebase ML Kit into your Flutter applications for both Android and iOS.

  • Train Custom ML Models: Discover how to train your own machine learning models for image classification and object detection without needing extensive background knowledge.

  • Computer Vision Techniques: Implement advanced computer vision features like image classification, object detection, image segmentation, barcode scanning, pose estimation, and more.

  • Real-time Applications: Build applications that process live camera footage for real-time ML tasks, including text recognition, face detection, and image labeling.

  • Comprehensive Flutter Projects: Create over 20 complete Flutter applications, showcasing your ability to handle various ML tasks and computer vision models.

Machine Learning Features Covered:

  1. Image Classification: Classify images from the gallery and live camera footage.

  2. Object Detection: Detect objects in images and real-time camera frames.

  3. Image Segmentation: Make images transparent by segmenting them.

  4. Barcode Scanning: Scan barcodes and QR codes.

  5. Pose Estimation: Detect human body joints.

  6. Text Recognition: Recognize text in images.

  7. Text Translation: Translate text between different languages.

  8. Face Detection: Detect faces, facial landmarks, and expressions.

  9. Smart Reply: Generate smart reply suggestions in chat applications.

  10. Digital Ink Recognition: Recognize handwritten text.

  11. Language Identification: Identify the language of a given text.

  12. Entity Extraction: Extract different entities from text.

Course Highlights:

  1. Introduction to Key Libraries:

    • Image Picker: Choose images from the gallery or capture with the camera.

    • Camera: Access live camera footage frame by frame.

  2. Firebase ML Kit Integration:

    • Build applications using features like image labeling, barcode scanning, text recognition, face detection, and more with both static images and live camera footage.

  3. TensorFlow Lite Models:

    • Implement pre-trained models for image classification and object detection.

    • Create real-time applications using models like MobileNet and EfficientNet.

  4. Training Custom Models:

    • Gather and prepare datasets.

    • Train image classification and object detection models.

    • Convert models to TensorFlow Lite format for use in Flutter apps.

Who This Course is For:

  • Beginners: Those new to Flutter and mobile app development.

  • Intermediate Developers: Flutter developers looking to integrate advanced ML features.

  • Experienced Developers: Developers seeking to enhance their apps with custom machine learning and computer vision models.

  • Tech Enthusiasts: Anyone interested in exploring AI and ML within mobile applications.

Why Enroll?

  • Comprehensive Content: Over 20 fully-fledged Flutter applications.

  • Expert Instruction: Led by Muhammad Hamza Asif, with 6+ years of experience and a community of 60,000+ students.

  • Complete Confidence: 30-day money-back guarantee from Udemy.

Join now and transform your Flutter development skills with powerful machine learning capabilities. Click “Buy Now” to start your journey in the world of AI-driven Flutter applications!

Course Curriculum

Chapter 1: Setup for MacOS

Lecture 1: Install the Flutter SDK

Lecture 2: Install Android Studio

Lecture 3: Install and Setup XCode

Lecture 4: Creating A Flutter Project and Installing in IOS Simulator

Lecture 5: Install the Android Emulator

Chapter 2: Setup for Windows

Lecture 1: Installing Flutter on Windows

Lecture 2: Installing Android Studio

Lecture 3: Creating Android Virtual Device

Chapter 3: Choose Images from Gallery or capture Images using Camera in Flutter

Lecture 1: Setting Up a new Flutter Project and Creating Application GUI

Lecture 2: Adding the Library and setting configurations for Android & IOS

Lecture 3: Choosing Images From Gallery In Flutter

Lecture 4: Capturing Images using Camera in Flutter

Lecture 5: Overivew

Chapter 4: Displaying Live Camera Footage in Flutter

Lecture 1: Creating new Flutter project and Adding library

Lecture 2: Displaying Live Camera Footage in Flutter

Lecture 3: Getting Frames of Camera Footage One by One in Flutter

Lecture 4: Camera Package Overview

Chapter 5: Image Labeling / Classification in Flutter for Android & IOS

Lecture 1: Section Introduction

Lecture 2: Setting up the Image Labeling With Images Flutter Project

Lecture 3: Adding Library in Flutter and Setup for Android and IOS

Lecture 4: Performing Image Labeling in Flutter With Images

Lecture 5: Showing ML models results on Screen to the User in Flutter

Lecture 6: Image Labeling with Images in Flutter Overview

Lecture 7: Building GUI of Image Labeling with Images Flutter Application

Lecture 8: Making Image Labeling Results Look better in Flutter

Chapter 6: Realtime Image Labeling in Flutter

Lecture 1: Setting up Real Time Image Labeling Project in Flutter

Lecture 2: Setting up Image Labeling Library for Android & IOS in Flutter

Lecture 3: Converting Camera Frames and Processing them one by one in Flutter

Lecture 4: Passing Frames on Image Classification model and Getting Results in Flutter

Lecture 5: Building GUI of Realtime Image Classification Flutter Application

Lecture 6: Showing Frame Image on Camera Footage in Flutter

Chapter 7: Barcode Scanning in Flutter for Android & IOS

Lecture 1: Barcode Scanning Section Introduction

Lecture 2: Setting up Barcode Scanner Application Project

Lecture 3: Adding Barcode Scanner Package and Creating Scanner

Lecture 4: Performing Barcode Scanning in Flutter with Images

Lecture 5: Barcode Scanning with Images Overview

Lecture 6: Setting up Realtime Barcode Scanning Application Project

Lecture 7: Performing Barcode Scanning with frames of live camera footage

Lecture 8: Testing Realtime Barcode Scanning Application

Lecture 9: Realtime Barcode Scanning Application Overview

Chapter 8: Face Detection in Flutter for Android & IOS

Lecture 1: Face Detection Section Introduction

Lecture 2: Setting up the Face Detection with Images Project

Lecture 3: Adding the Library and creating Face Detector

Lecture 4: Performing Face Detection in Flutter With Images

Lecture 5: Drawing Rectangles around detected Faces on Images

Lecture 6: Drawing Facial Contours

Lecture 7: Facial Landmarks Detection

Lecture 8: Face Classification / Emotion Detection

Lecture 9: Face Detection with Images Overview

Lecture 10: Setting Up Realtime Face Detection Flutter Project

Lecture 11: What we have done so far

Lecture 12: Creating Face Detector

Lecture 13: Drawing Rectangles Around Detected Faces In Realtime

Lecture 14: Face Detector Painter

Lecture 15: RealTime Face Detection Application Testing

Lecture 16: Drawing Facial Contours In Realtime

Lecture 17: RealTime Facial Contours Detection Testing

Lecture 18: RealTime Face Detection In Flutter Overview

Chapter 9: Object Detection in Flutter for Android & IOS

Lecture 1: Object Detection Section Introduction

Lecture 2: Setting Up Object Detection With Images Project

Lecture 3: Performing Object Detection With Images In Flutter

Lecture 4: Drawing Rectangles Around Detected Object In Flutter

Lecture 5: Object Classification With Images

Lecture 6: Setting Up Real Time Object Detection Application Project

Lecture 7: Performing Object Detection With Frames of Live Camera Footage in Flutter

Lecture 8: Drawing Rectangles Around Detected Objects In Realtime

Lecture 9: Realtime Object Detection Testing

Lecture 10: RealTime Object Classification in Flutter

Lecture 11: Realtime Object Detection Testing Drawing Names of Detected Classes

Lecture 12: Live Feed Object Detection Overview

Chapter 10: Text Recognition in Flutter for Android & IOS

Lecture 1: Text Recognition Section Introduction

Lecture 2: Setting up Text Recognition with Images Flutter Project

Lecture 3: Performing Text Recognition With Images in Flutter

Lecture 4: Exploring Structure Of Recognized Text

Lecture 5: Text Recognition With Images Overview

Lecture 6: Setting Up Realtime Text Recognition Flutter Project

Lecture 7: Performing Text Recognition With Frames of Live Camera Footage

Lecture 8: Drawing Rectangles Around Detected Text On Live Camera Footage

Lecture 9: Realtime Text Recognition Application Testing

Lecture 10: Exploring Output of Text Recognition Model

Lecture 11: Realtime Text Recognition Application Drawing Rectangle Around Each line

Lecture 12: Realtime Text Recognition Overview

Chapter 11: Pose Estimation in Flutter for Android & IOS

Lecture 1: Pose Detection Section Introduction

Lecture 2: Setting Up Pose Estimation Images Project

Lecture 3: Performing Pose Estimation In Flutter

Lecture 4: Drawing Body Joints Position On Screen

Lecture 5: Drawing Complete Pose Of Person On Screen

Lecture 6: Pose Estimation Images Overview

Lecture 7: Setting Up Realtime Pose Detection Flutter Project

Instructors

Rating Distribution

  • 1 stars: 7 votes
  • 2 stars: 1 votes
  • 3 stars: 6 votes
  • 4 stars: 30 votes
  • 5 stars: 62 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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