FreeCourseSite com Udemy Flutter Artificial Intelligence Course Build 15 AI Apps

FreeCourseSite com Udemy Flutter Artificial Intelligence Course Build 15 AI Apps

Name	[FreeCourseSite.com] Udemy - Flutter Artificial Intelligence Course - Build 15+ AI Apps	DOWNLOAD Copy Link
Total Size	5.0 GB
Total Files	221
Hash	01B4C68E9A3432A8687E9E387BE087A9E71B4A83

/0. Websites you may like/
[CourseClub.ME].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1. Introduction/
1. Course Introduction.mp4	143.2 MB
1. Course Introduction.srt	6.9 KB
/10. Pose Estimation App/
1. Create and Setup Project.mp4	30.0 MB
1. Create and Setup Project.srt	2.2 KB
2. Add Splash Screen.mp4	46.1 MB
2. Add Splash Screen.srt	5.9 KB
2.1 icon.png	20.4 KB
3. Create Home Page.mp4	11.2 MB
3. Create Home Page.srt	1.1 KB
4. Implement Live Camera Function.mp4	59.6 MB
4. Implement Live Camera Function.srt	6.7 KB
5. Add Model and Load Model.mp4	46.4 MB
5. Add Model and Load Model.srt	5.4 KB
5.1 posenet_mv1_075_float_from_checkpoints.tflite	5.0 MB
6. Run Model on Stream Frame.mp4	20.1 MB
6. Run Model on Stream Frame.srt	2.2 KB
7. Finish the App and Testing the App.mp4	78.5 MB
7. Finish the App and Testing the App.srt	7.0 KB
/11. Jarvis Objects Recogniser App - (Convolutional Neural Network (CNN) Algorithm)/
1. Create Project & Setup Everything.mp4	25.3 MB
1. Create Project & Setup Everything.srt	2.2 KB
2. Add Splash Screen.mp4	61.7 MB
2. Add Splash Screen.srt	8.6 KB
2.1 jarvis.jpg	195.4 KB
2.2 back.jpg	331.8 KB
2.3 camera.jpg	52.7 KB
3. Create Home Page.mp4	8.2 MB
3. Create Home Page.srt	1.1 KB
4. Initialise Live Camera.mp4	49.1 MB
4. Initialise Live Camera.srt	5.7 KB
5. Implement Live Camera Function.mp4	86.6 MB
5. Implement Live Camera Function.srt	9.1 KB
6. Add Model in our Project and Load Model.mp4	52.1 MB
6. Add Model in our Project and Load Model.srt	6.1 KB
6.1 mobilenet_v1_1.0_224.tflite	16.9 MB
6.2 mobilenet_v1_1.0_224.txt	11.5 KB
7. Run Model on Camera Stream Frames.mp4	51.8 MB
7. Run Model on Camera Stream Frames.srt	5.7 KB
8. Finish the App and Testing the App.mp4	40.0 MB
8. Finish the App and Testing the App.srt	3.5 KB
/12. Dogs Breed Identifier App/
1. Create and Setup New Project.mp4	22.8 MB
1. Create and Setup New Project.srt	1.9 KB
2. Splash Screen.mp4	42.8 MB
2. Splash Screen.srt	5.7 KB
2.1 frame.jpg	38.8 KB
2.2 back.jpg	60.8 KB
2.3 dog.png	43.8 KB
3. Implement Live Camera Feature for Dogs Breed Recognition.mp4	59.3 MB
3. Implement Live Camera Feature for Dogs Breed Recognition.srt	7.2 KB
4. Load Model and Run Model for Dog's Breed Live Identification.mp4	40.5 MB
4. Load Model and Run Model for Dog's Breed Live Identification.srt	4.6 KB
4.1 model.tflite	9.5 MB
4.2 labels.txt	1.7 KB
5. Finishing the App and Testing the App.mp4	27.7 MB
5. Finishing the App and Testing the App.srt	2.4 KB
/13. Fruits Recogniser App/
1. Create New Project and Installing Dependencies.mp4	31.4 MB
1. Create New Project and Installing Dependencies.srt	2.9 KB
2. Splash Screen.mp4	31.2 MB
2. Splash Screen.srt	4.3 KB
2.1 fruits.png	34.5 KB
2.2 back.jpg	112.5 KB
2.3 frame.jpg	96.1 KB
3. Implement Live Camera Feature.mp4	35.5 MB
3. Implement Live Camera Feature.srt	4.2 KB
4. Load Model and Run Model.mp4	27.9 MB
4. Load Model and Run Model.srt	3.3 KB
4.1 labelsfruits.txt	0.1 KB
4.2 modelfruits.tflite	9.0 MB
5. Finishing the App and Testing the App.mp4	17.3 MB
5. Finishing the App and Testing the App.srt	1.2 KB
/14. Face Detection App - (Google Machine Learning Vision)/
1. Create and Setup Project.mp4	22.5 MB
1. Create and Setup Project.srt	2.0 KB
2. Add Splash Screen and Installing Dependencies.mp4	31.0 MB
2. Add Splash Screen and Installing Dependencies.srt	3.7 KB
2.1 start.png	18.0 KB
2.2 face.jpg	68.4 KB
2.3 stop.png	3.9 KB
3. Setup the Google Machine Learning Vision.mp4	71.1 MB
3. Setup the Google Machine Learning Vision.srt	8.1 KB
4. Image Stream Frame Scanner Utils.mp4	96.4 MB
4. Image Stream Frame Scanner Utils.srt	9.2 KB
5. Implement Live Camera Stream Feature.mp4	102.4 MB
5. Implement Live Camera Stream Feature.srt	10.1 KB
6. Toggle between Front Camera and Back Camera.mp4	47.5 MB
6. Toggle between Front Camera and Back Camera.srt	4.7 KB
7. Perform Face Detection on Camera Stream Frame.mp4	26.1 MB
7. Perform Face Detection on Camera Stream Frame.srt	2.8 KB
8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame.mp4	91.5 MB
8. Draw Rectangles around All Detected Faces in Live Camera Stream Frame.srt	8.8 KB
9. Finishing the app and Testing the app.mp4	25.4 MB
9. Finishing the app and Testing the app.srt	2.2 KB
/15. New 3 Apps Coming Soon/
1. We are also adding new 3 Apps till next week..html	0.1 KB
/2. Complete Setup -- Download & Install Flutter SDK/
1. For Windows Users - Flutter Complete Setup.mp4	119.2 MB
1. For Windows Users - Flutter Complete Setup.srt	21.0 KB
2. For MAC Users - Flutter Complete Setup.mp4	334.4 MB
2. For MAC Users - Flutter Complete Setup.srt	29.9 KB
/3. Cat vs Dog Detector App/
1. Creating Project and Installing Dependences.mp4	34.8 MB
1. Creating Project and Installing Dependences.srt	4.4 KB
2. Adding SplashScreen.mp4	81.7 MB
2. Adding SplashScreen.srt	10.3 KB
2.1 cat_dog_icon.png	43.4 KB
3. Creating Home Page.mp4	37.4 MB
3. Creating Home Page.srt	4.5 KB
3.1 cat_dog_icon.png	43.4 KB
4. Home Page Design - Completed.mp4	129.7 MB
4. Home Page Design - Completed.srt	13.1 KB
4.1 cat_dog_icon.png	43.4 KB
5. Downloading Dataset and Perform Training on Dataset - Get Trained Model.mp4	59.7 MB
5. Downloading Dataset and Perform Training on Dataset - Get Trained Model.srt	8.7 KB
6. Adding TFlite Functions.mp4	72.6 MB
6. Adding TFlite Functions.srt	4.3 KB
7. Creating Functions for Capturing Image and Pick Image from Gallery.mp4	24.5 MB
7. Creating Functions for Capturing Image and Pick Image from Gallery.srt	2.4 KB
8. Completing App and Texting the App.mp4	50.3 MB
8. Completing App and Texting the App.srt	5.0 KB
/4. Face Mask Detection App/
1. create new project.mp4	23.5 MB
1. create new project.srt	1.8 KB
2. Add Splash Screen.mp4	50.9 MB
2. Add Splash Screen.srt	6.8 KB
2.1 splash.png	38.6 KB
3. Implement Live Camera Feature.mp4	126.0 MB
3. Implement Live Camera Feature.srt	13.9 KB
4. Add and Load TfLite Model for Face Mask Detection.mp4	27.8 MB
4. Add and Load TfLite Model for Face Mask Detection.srt	3.2 KB
4.1 labels.txt	0.0 KB
4.2 model.tflite	10.3 MB
5. Run Model on Camera Stream Frames.mp4	34.4 MB
5. Run Model on Camera Stream Frames.srt	3.3 KB
6. Finishing the App and Testing the App.mp4	24.0 MB
6. Finishing the App and Testing the App.srt	1.7 KB
/5. Cats Breed Identifier App/
1. Ceating and Setting up the project.mp4	32.0 MB
1. Ceating and Setting up the project.srt	3.7 KB
1.1 icon.jpg	59.4 KB
1.2 background.jpg	402.0 KB
2. Completing the SplashScreen.mp4	82.2 MB
2. Completing the SplashScreen.srt	10.7 KB
2.1 icon.jpg	59.4 KB
2.2 background.jpg	402.0 KB
3. Completing the Home Page Design.mp4	122.0 MB
3. Completing the Home Page Design.srt	12.8 KB
3.1 icon.jpg	59.4 KB
3.2 background.jpg	402.0 KB
4. Creating Funtions for Uploading and Capturing Photos.mp4	45.3 MB
4. Creating Funtions for Uploading and Capturing Photos.srt	5.1 KB
5. Download Model and Training it.mp4	81.0 MB
5. Download Model and Training it.srt	11.5 KB
5.1 labels.txt	0.1 KB
5.2 model_unquant.tflite	2.1 MB
6. Installing Tflite and ImagePicker.mp4	48.2 MB
6. Installing Tflite and ImagePicker.srt	4.7 KB
7. Adding Image Recognition Funtions and Testing our App.mp4	63.2 MB
7. Adding Image Recognition Funtions and Testing our App.srt	5.7 KB
/6. Flower Types Identifier App/
1. Setup the Project & Everything.mp4	39.9 MB
1. Setup the Project & Everything.srt	3.7 KB
2. Installing TfLite in our App.mp4	18.4 MB
2. Installing TfLite in our App.srt	2.3 KB
3. Downloading our Dataset and Training our Model.mp4	53.8 MB
3. Downloading our Dataset and Training our Model.srt	6.7 KB
3.1 labels.txt	0.0 KB
3.2 model_unquant.tflite	2.1 MB
4. Creating Funtions and Testing our app.mp4	25.7 MB
4. Creating Funtions and Testing our app.srt	3.0 KB
/7. Avengers Characters Recogniser App/
1. Setup the Project Ui & Everything.mp4	56.3 MB
1. Setup the Project Ui & Everything.srt	7.1 KB
2. Download Dataset and Training our Model.mp4	64.5 MB
2. Download Dataset and Training our Model.srt	8.5 KB
2.1 labels.txt	0.1 KB
2.2 model_unquant.tflite	2.1 MB
3. Installing TfLite in our application.mp4	20.2 MB
3. Installing TfLite in our application.srt	2.5 KB
4. Creating Funtions and Testing our App.mp4	37.6 MB
4. Creating Funtions and Testing our App.srt	3.7 KB
/8. Image Captions Generator App - ((NLP) Natural Language Processing Algorithm)/
1. Create and Setting up Project.mp4	24.0 MB
1. Create and Setting up Project.srt	2.2 KB
10. Implement Live Camera Stream Function.mp4	140.5 MB
10. Implement Live Camera Stream Function.srt	15.0 KB
11. Finalising the App and Testing the App.mp4	216.0 MB
11. Finalising the App and Testing the App.srt	23.6 KB
2. Add Splash Screen.mp4	57.0 MB
2. Add Splash Screen.srt	8.5 KB
2.1 camera.jpg	52.7 KB
2.2 jarvis.jpg	136.6 KB
3. HomeScreen part 1.mp4	64.3 MB
3. HomeScreen part 1.srt	7.1 KB
3.1 camera.jpg	52.7 KB
3.2 jarvis.jpg	136.6 KB
4. HomeScreen part 2.mp4	72.6 MB
4. HomeScreen part 2.srt	6.8 KB
4.1 jarvis.jpg	136.6 KB
4.2 camera.jpg	52.7 KB
5. HomeScreen part 3.mp4	72.2 MB
5. HomeScreen part 3.srt	7.9 KB
6. Implement Capture Image and Pick image from Gallery Functions.mp4	47.3 MB
6. Implement Capture Image and Pick image from Gallery Functions.srt	5.1 KB
7. Create API Service.mp4	48.2 MB
7. Create API Service.srt	7.4 KB
8. Get Image Caption Predictions Response from API.mp4	125.5 MB
8. Get Image Caption Predictions Response from API.srt	12.1 KB
9. Calling the getResponse Function.mp4	8.2 MB
9. Calling the getResponse Function.srt	0.8 KB
/9. Live Object Detection App/
1. Create and Setup New Project.mp4	29.2 MB
1. Create and Setup New Project.srt	2.2 KB
2. Install Required Packages.mp4	29.5 MB
2. Install Required Packages.srt	3.7 KB
3. Implement Live Camera Function.mp4	92.9 MB
3. Implement Live Camera Function.srt	8.9 KB
4. Add Object Detection Model to our Project.mp4	13.9 MB
4. Add Object Detection Model to our Project.srt	1.4 KB
4.1 ssd_mobilenet.txt	0.7 KB
4.2 ssd_mobilenet.tflite	4.2 MB
5. Load Model into our Flutter Project.mp4	35.1 MB
5. Load Model into our Flutter Project.srt	4.1 KB
6. Run Model on Stream Frame.mp4	43.9 MB
6. Run Model on Stream Frame.srt	4.1 KB
7. Implement Boxes Around Detected Objects Function.mp4	87.9 MB
7. Implement Boxes Around Detected Objects Function.srt	9.1 KB
8. Finishing the App and Testing the App.mp4	43.1 MB
8. Finishing the App and Testing the App.srt	3.7 KB
Total files 221