1. Course Introduction 8.00
Flutter Artificial Intelligence Course - Build 15+ AI Apps
coding cafe
What Will You Learn?
- Flutter Deep Learning
- Flutter Machine Learning
- Flutter Artificial Intelligence
- Skills and Techniques to develop any Artificial Intelligence idea into a mobile phone app
- Implementing (NLP) Natural Language Processing Algorithm for Mobile Apps Development
- Implementing (CNN) Convolutional Neural Network for Mobile Apps Development
- Optical Character Recognition
- Understanding of Different Types of Neural Networks & How you can use them
- you will learn and make 15+ Ai Apps
- and Much more.
Course Content
-
Creating Project and Installing Dependences 4.00
Adding SplashScreen 11.00
Creating Home Page 5.00
Home Page Design - Completed 14.00
Downloading Dataset and Perform Training on Dataset - Get Trained Model 7.00
Adding TFlite Functions 7.00
Creating Functions for Capturing Image and Pick Image from Gallery 3.00
Completing App and Texting the App 5.00
-
Ceating and Setting up the project 4.00
Completing the SplashScreen 10.00
Completing the Home Page Design 14.00
Creating Funtions for Uploading and Capturing Photos 5.00
Download Model and Training it 10.00
Installing Tflite and ImagePicker 5.00
Adding Image Recognition Funtions and Testing our App 7.00
-
Create and Setting up Project 2.00
.Add Splash Screen 7.00
HomeScreen part 1 9.00
HomeScreen part 2 9.00
HomeScreen part 3 9.00
Implement Capture Image and Pick image from Gallery Functions 6.00
Create API Service 8.00
Get Image Caption Predictions Response from AP 15.00
Calling the getResponse Function 1.00
Implement Live Camera Stream Function 17.00
Finalising the App and Testing the App 23.00
-
Create and Setup New Project 3.00
Install Required Packages 4.00
Implement Live Camera Function 11.00
Load Model into our Flutter Projec 5.00
Run Model on Stream Frame 6.00
Implement Boxes Around Detected Objects Function 11.00
Add Object Detection Model to our Project 2.00
.Finishing the App and Testing the App 4.00
-
1,Create and Setup Project 4.00
2,Add Splash Screen 4.00
Google ML Vision Setup 8.00
Image Stream Frame Scanner Utils 12.00
5. Implement Live Camera Stream Feature 12.00
Toggle between Front Camera and Back Camera 6.00
Perform Face Detection on Camera Stream Frame 4.00
Draw Rectangles around All Detected Faces in Live Camera Stream Frame 11.00
9.Finishing the app and Testing the app 3.00
About This Course
In this course you will learn how to make your own
Artificial Intelligence Apps using Flutter (Android+iOS) with TensorFlow Lite.
We will develop 15+ AI Apps with Flutter using
TensorFlow Machine Learning and Deep Learning Concepts. In this course you will
also learn how to train a model/machine for your apps. And how to import and
use these trained models after training in your flutter app (android+iOS app).
This is a complete step by step course. At the end of
this course you will be able to make your own Ai, Deep Learning and Machine
Learning Apps for the Android Smart Phones and iOS [iPhones] using Flutter SDK
with TensorFlow Lite.
TensorFlow Lite is an open source deep learning
framework for on-device inference. See the guide. Guides explain the concepts
and components of TensorFlow Lite.
TensorFlow Lite is a set of tools to help developers
run TensorFlow models on mobile, embedded, and IoT devices. It enables
on-device machine learning inference with low latency and a small binary size.
Among these 15+ Apps we will also develop 3
additional apps using Firebase Machine Learning Kit which is also known as
Firebase ML Kit.
Instructor
coding cafe
Developer- 1 Courses
- 0 Students
Hi I'm David Paul. I'm an experienced software engineer who constantly seeks out innovative solutions to everyday problems. In my seven years in this industry, I've honed my analytical thinking and collaboration skills, and I love working with a team.