Flutter Artificial Intelligence Course - Build 15+ AI Apps
- Description
- Curriculum
- Reviews
What you’ll 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.
1. Introduction
2. Complete Setup -- Download & Install Flutter SDK
3. Cat vs Dog Detector App
-
4
1. Creating Project and Installing Dependences -
5
2. Adding SplashScreen
-
6
3. Creating Home Page
-
7
4. Home Page Design - Completed
-
8
5. Downloading Dataset and Perform Training on Dataset - Get Trained Model
-
9
6. Adding TFlite Functions
-
10
7. Creating Functions for Capturing Image and Pick Image from Gallery
-
11
8. Completing App and Texting the App
4. Face Mask Detection App
5. Cats Breed Identifier App
-
18
1. Ceating and Setting up the project
-
19
2. Completing the SplashScreen
-
20
3. Completing the Home Page Design
-
21
4. Creating Funtions for Uploading and Capturing Photos
-
22
5. Download Model and Training it
-
23
6. Installing Tflite and ImagePicker
-
24
7. Adding Image Recognition Funtions and Testing our App
6. Flower Types Identifier App
7. Avengers Characters Recogniser App
8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)
-
33
1. Create and Setting up Project
-
34
2. Add Splash Screen
-
35
3. HomeScreen part 1
-
36
4. HomeScreen part 2
-
37
5. HomeScreen part 3
-
38
6. Implement Capture Image and Pick image from Gallery Functions
-
39
7. Create API Service
-
40
8. Get Image Caption Predictions Response from API
-
41
9. Calling the getResponse Function
-
42
10. Implement Live Camera Stream Function
-
43
11. Finalising the App and Testing the App
9. Live Object Detection App
-
44
1. Create and Setup New Project
-
45
2. Install Required Packages
-
46
3. Implement Live Camera Function
-
47
4. Add Object Detection Model to our Project
-
48
5. Load Model into our Flutter Project
-
49
6. Run Model on Stream Frame
-
50
7. Implement Boxes Around Detected Objects Function
-
51
8. Finishing the App and Testing the App
10. Pose Estimation App
11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)
12. Dogs Breed Identifier App
13. Fruits Recogniser App
14. Face Detection App - (Google Machine Learning Vision)
-
77
1. Create and Setup Project
-
78
2. Add Splash Screen and Installing Dependencies
-
79
3. Setup the Google Machine Learning Vision
-
80
4. Image Stream Frame Scanner Utils
-
81
5. Implement Live Camera Stream Feature
-
82
6. Toggle between Front Camera and Back Camera
-
83
7. Perform Face Detection on Camera Stream Frame
-
84
8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame
-
85
9. Finishing the app and Testing the app
Please, login to leave a review
