Flutter iOS & Android Fruit Detection using Machine Learning TensorFlow Lite - GetX Flutter Deep Learning Image Processing App Development Full Course faq

learnersLearners: 3
instructor Instructor: / instructor-icon
duration Duration: 1.00 duration-icon

This course teaches students how to build 16+ AI Machine Learning and Deep Learning Apps using GetX Flutter 2.8 Artificial Intelligence. Students will learn how to create Fruit Detection Apps using TensorFlow Lite Machine Learning, Image Processing, and Object Detection. They will also learn how to create Face Mask Detection, Flowers Identifier, Cats Breed Identifier, and Cat vs Dog Classifier Apps.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)


Fruit Detection using TensorFlow Lite Machine Learning Course - Flutter GetX iOS & Android Tutorial.
Fruit Detection using Image Processing TfLite App - Flutter Android & iOS App Development Tutorial.
Fruit Detector App Tutorial - Flutter Tensor Flow Lite Android & iOS Machine Learning Course 2022.
Flutter TfLite Fruits Detection App - iOS & Android Mobile Ai Machine Learning Full Course 2022.
Flutter TfLite Fruits Detection App - Mobile iOS & Android Ai Machine Learning Full Course 2022.
Object Detection using TensorFlow Lite Tutorial - GetX Flutter TFLite Ai Computer Vision Course 2022.
Ai Machine Learning Face Mask Detection App 2022 - GetX Flutter 2.5 Artificial Intelligence Course.
Ai Machine Learning Flowers Identifier App 2022 - GetX Flutter 2.5 Artificial Intelligence Course.
Ai Deep Learning Cats Breed Identifier App 2022 - GetX Flutter 2.5 Artificial Intelligence Course.
Ai Machine Learning Cat vs Dog Classifier App 2022 - GetX Flutter 2.5 Artificial Intelligence Course.
GetX Flutter 2.8 Artificial Intelligence Course - Build 16+ Ai Machine Learning Deep Learning Apps.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

This course is designed to teach students how to use TensorFlow Lite Machine Learning for Fruit Detection in a Flutter GetX iOS and Android development environment. Students will learn how to build a Fruit Detector app and other apps such as a face mask detection app, flowers identifier app, cats breed identifier app and a cat vs dog classifier. By the end of the course, students will be able to create apps and build with TfLite and Flutter for iOS and Android.

Possible Development Paths:
This course is suitable for beginners, intermediates, and advanced developers. After completing this course, learners can further develop their skills in mobile app development, machine learning, and deep learning. They can also explore other areas such as natural language processing, computer vision, and robotics.

Learning Suggestions:
To get the most out of this course, learners should have a basic understanding of programming and mobile app development. They should also have a basic understanding of machine learning and deep learning concepts. Learners should also be familiar with the Flutter and GetX frameworks. Additionally, learners should have access to an iOS or Android device for testing their apps.

[Applications]
Suggestions for applying the knowledge gained from this course include creating apps that use TensorFlow Lite Machine Learning for Fruit Detection in a Flutter GetX iOS and Android development environment. Students can also use the skills they have learned to create other apps such as a face mask detection app, flowers identifier app, cats breed identifier app and a cat vs dog classifier. Additionally, students can use TfLite, GetX and Flutter 2.5 to develop sixteen+ Ai Machine Learning and Deep Learning apps.

[Career Paths]
1. Mobile App Developer: Mobile app developers use programming languages such as Java, Swift, and C++ to create applications for mobile devices. They must be familiar with the development process for both iOS and Android platforms, and be able to design and develop apps that are user-friendly and visually appealing. Developing trends for mobile app developers include the use of artificial intelligence (AI) and machine learning (ML) to create more sophisticated apps, as well as the use of augmented reality (AR) and virtual reality (VR) to create immersive experiences.

2. Machine Learning Engineer: Machine learning engineers use algorithms and data to create and improve machine learning models. They must be familiar with programming languages such as Python and R, and be able to develop and deploy machine learning models. Developing trends for machine learning engineers include the use of deep learning and natural language processing (NLP) to create more accurate models, as well as the use of cloud computing to deploy models more quickly and efficiently.

3. Data Scientist: Data scientists use data to identify patterns and trends, and to develop insights and solutions. They must be familiar with programming languages such as Python and R, and be able to analyze and interpret data. Developing trends for data scientists include the use of big data and predictive analytics to create more accurate models, as well as the use of artificial intelligence (AI) and machine learning (ML) to automate data analysis.

4. AI Developer: AI developers use programming languages such as Python and C++ to create and deploy AI applications. They must be familiar with the development process for both iOS and Android platforms, and be able to design and develop AI applications that are user-friendly and visually appealing. Developing trends for AI developers include the use of deep learning and natural language processing (NLP) to create more sophisticated applications, as well as the use of cloud computing to deploy applications more quickly and efficiently.

Course Provider

Provider Youtube's Stats at AZClass

Over 100+ Best Educational YouTube Channels in 2023.
Best educational YouTube channels for college students, including Crash Course, Khan Academy, etc.
AZ Class hope that this free Youtube course can help your Flutter skills no matter in career or in further education. Even if you are only slightly interested, you can take Flutter iOS & Android Fruit Detection using Machine Learning TensorFlow Lite - GetX Flutter Deep Learning Image Processing App Development Full Course course with confidence!

Rating Grade: B This is a trending provider perfect for gaining traction and maybe a good option for users who are looking for a reliable source of learning content.

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faq FAQ for Flutter Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

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Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 3 people have participated in this course. The duration of this course is 1.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

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