1. For Windows Users - Flutter Complete Setup

2. For MAC Users - Flutter Complete Setup

1. Creating Project and Installing Dependences

2. Adding SplashScreen

3. Creating Home Page

4. Home Page Design - Completed

5. Downloading Dataset and Perform Training on Dataset - Get Trained Model

6. Adding TFlite Functions

7. Creating Functions for Capturing Image and Pick Image from Gallery

8. Completing App and Texting the App

1. create new project

2. Add Splash Screen

3. Implement Live Camera Feature

4. Add and Load TfLite Model for Face Mask Detection

5. Run Model on Camera Stream Frames

6. Finishing the App and Testing the App

1. Ceating and Setting up the project

2. Completing the SplashScreen

3. Completing the Home Page Design

4. Creating Funtions for Uploading and Capturing Photos

5. Download Model and Training it

6. Installing Tflite and ImagePicker

7. Adding Image Recognition Funtions and Testing our App

1. Setup the Project & Everything

2. Installing TfLite in our App

3. Downloading our Dataset and Training our Model

4. Creating Funtions and Testing our app

1. Setup the Project Ui & Everything

2. Download Dataset and Training our Model

3. Installing TfLite in our application

4. Creating Funtions and Testing our App

1. Create and Setting up Project

2. Add Splash Screen

3. HomeScreen part 1

4. HomeScreen part 2

5. HomeScreen part 3

6. Implement Capture Image and Pick image from Gallery Functions

7. Create API Service

8. Get Image Caption Predictions Response from API

9. Calling the getResponse Function

10. Implement Live Camera Stream Function

11. Finalising the App and Testing the App

1. Create and Setup New Project

2. Install Required Packages

3. Implement Live Camera Function

4. Add Object Detection Model to our Project

5. Load Model into our Flutter Project

6. Run Model on Stream Frame

7. Implement Boxes Around Detected Objects Function

8. Finishing the App and Testing the App

1. Create and Setup Project

2. Add Splash Screen

3. Create Home Page

4. Implement Live Camera Function

5. Add Model and Load Model

6. Run Model on Stream Frame

7. Finish the App and Testing the App

1. Create Project & Setup Everything

2. Add Splash Screen

3. Create Home Page

4. Initialise Live Camera

5. Implement Live Camera Function

6. Add Model in our Project and Load Model

7. Run Model on Camera Stream Frames

8. Finish the App and Testing the App

1. Create and Setup New Project

2. Splash Screen

3. Implement Live Camera Feature for Dogs Breed Recognition

4. Load Model and Run Model for Dog's Breed Live Identification

5. Finishing the App and Testing the App

1. Create New Project and Installing Dependencies

2. Splash Screen

3. Implement Live Camera Feature

4. Load Model and Run Model

5. Finishing the App and Testing the App

1. Create and Setup Project

2. Add Splash Screen and Installing Dependencies

3. Setup the Google Machine Learning Vision

4. Image Stream Frame Scanner Utils

5. Implement Live Camera Stream Feature

6. Toggle between Front Camera and Back Camera

7. Perform Face Detection on Camera Stream Frame

8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame

9. Finishing the app and Testing the app