Machine Learning in Flutter: Complete Guide

4.6

★ ★ ★ ★ ★

8 Reviews

stds 66 Students

Course Highlights

Learn the smart way of using machine learning in Flutter to build smart android and iOS applications with the Machine Learning in Flutter: Complete Guide course.

Flutter is a software development kit for developing beautiful applications from a single codebase. Moreover, if you can infuse machine learning within Flutter, you can craft wonders. This complete guide aims to provide you with the fundamental knowledge and skills required to use Machine Learning in Flutter to equip you with this phenomenal skill.

This complete guide will give you a solid foundation of the Firebase ML kit as well as a detailed idea about the image picker library and camera package setup for Flutter. You will explore a broad range of flutter widgets like image labelling, face detection, pose estimation and so on.

Enrol in this Machine Learning in Flutter: Complete Guide course today and build high-quality and functionally-rich apps using machine Learning in Flutter.

Learning outcome

Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want

Course media

Trustpilot Review

Marketplace Review

Why should I take this course?

Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.

Requirements

Course Curriculum

Unit 01: Introduction

Module 01: Course Curriculum

00:02:00

Unit 02: Image Picker and Camera Libraries

Module 01: Image Picker Library for Flutter App Development

00:13:00
Module 02: Flutter Image Picker Application Testing

00:01:00
Module 03: Camera Package Setup for Flutter

00:04:00
Module 04: Flutter Camera Package Code

00:08:00

Unit 03: Firebase ML Kit

Module 01: Firebase ML kit section Introduction

00:01:00
Module 02: Firebase ML Kit introduction

00:02:00

Unit 04: Image Labeling using ML Kit

Module 01: Flutter Image Labeling Section Introduction

00:02:00
Module 02: Importing Starter code for image labeling

00:01:00
Module 03: Image labeling starter code explanation

00:06:00
Module 04: Creating firebase project for image labeling

00:06:00
Module 05: Adding Firebase ML Vision library in Flutter Application

00:10:00
Module 06: Testing Firebase Image labeling application

00:01:00
Module 07: Importing Image Labeling live feed application starter code

00:03:00
Module 08: Flutter Camera Package Code

00:06:00
Module 09: Flutter Image Labeling live feed application code

00:08:00
Module 10: Flutter Image labeling live feed application testing

00:01:00

Unit 05: Section Barcode Scanning

Module 01: Flutter Barcode Scanning Section Introduction

00:02:00
Module 02: Importing Starter code for Flutter Barcode Scanning

00:03:00
Module 03: Flutter Barcode Scanning code

00:11:00
Module 04: Flutter Barcode Scanning Application Testing

00:01:00
Module 05: Flutter Barcode Scanning Live Feed Application code

00:08:00
Module 06: Flutter Barcode Scanning Live feed Application Testing

00:01:00

Unit 06: Section Text Recognition

Module 01: Flutter Text Recognition Section Introduction

00:01:00
Module 02: Importing Starter code for Flutter Text Recognition

00:03:00
Module 03: Writing Flutter Text Recognition Code

00:09:00
Module 04: Testing Flutter Text Recognition Application

00:01:00

Unit 07: Section Face Detection

Module 01: Flutter Face Detection Section Introduction

00:02:00
Module 02: Flutter Face Detection Application Flow

00:01:00
Module 03: Flutter Face Detection code

00:06:00
Module 04: Flutter drawing rectangles around detected faces

00:05:00

Unit 08: Pretrained Tensorflow lite models

Module 01: Pretrained Tensorflow lite models Section Introduction

00:02:00

Unit 09: Section Image Classification

Module 01: Flutter Image classification Section introduction

00:02:00
Module 02: Importing Starter code for Flutter Image classification application

00:03:00
Module 03: Starter code explanation for Flutter Image classification

00:06:00
Module 04: Writing flutter image classification code

00:13:00
Module 05: Testing flutter image classification application

00:02:00
Module 06: Importing Flutter live feed Image classification application starter code

00:03:00
Module 07: Starter code explanation of Flutter Live feed Image classification application

00:05:00
Module 08: Writing Flutter Image classification code

00:11:00
Module 09: Testing live feed image classification flutter application

00:01:00

Unit 10: Section object detection

Module 01: Flutter Object detection section introduction

00:02:00
Module 02: Importing Application code object detection flutter

00:05:00
Module 03: Flutter Object detection code

00:13:00
Module 04: Flutter Drawing Rectangles around detected objects

00:04:00
Module 05: Importing the code for live feed object detection flutter application

00:02:00
Module 06: Testing object detection live feed flutter application

00:01:00
Module 07: Flutter Live feed object detection application code

00:10:00

Unit 11: Section human pose estimation

Module 01: Flutter Pose estimation section introduction

00:02:00
Module 02: Importing Flutter Pose estimation Application code

00:04:00
Module 03: Flutter Pose estimation code

00:10:00
Module 04: Importing pose estimation live feed flutter application code

00:02:00
Module 05: Flutter Live feed pose estimation application demo

00:01:00
Module 06: Using PoseNet model for Flutter Live feed pose estimation application

00:08:00