Course description

Course Overview

Dive into the world of machine learning with our "Flutter iOS & Android Fruit Detection using Machine Learning" course. This comprehensive course is designed to teach you how to develop a fruit detection application using Flutter, a powerful framework for building natively compiled applications for mobile, web, and desktop from a single codebase. You will explore the integration of machine learning models into Flutter apps, focusing on real-time fruit recognition and classification. By leveraging Firebase and Google’s ML Kit, you will create an intuitive and responsive fruit detection app for both iOS and Android platforms. Ideal for developers looking to enhance their skills in mobile app development and machine learning, this course provides hands-on experience and practical knowledge.

Key Learning Objectives

  • Understand the fundamentals of machine learning and its application in mobile apps.
  • Learn how to integrate machine learning models into Flutter apps using Google’s ML Kit.
  • Develop a fruit detection app for both iOS and Android platforms with Flutter.
  • Implement real-time fruit recognition and classification features using Firebase.
  • Design a user-friendly interface that interacts seamlessly with the machine learning model.

Requirements

  • Basic knowledge of Dart and Flutter.
  • Familiarity with mobile app development concepts.
  • Access to a computer with Flutter SDK installed.
  • Basic understanding of machine learning concepts is helpful but not required.
  • An Android or iOS device for testing the application.

Outcomes

  • Develop a fully functional fruit detection app using Flutter for both iOS and Android.
  • Integrate machine learning models with Firebase and Google’s ML Kit for real-time fruit recognition.
  • Gain practical experience in implementing and testing machine learning features in mobile apps.
  • Create a polished and user-friendly application with a responsive UI/UX design.
  • Build a portfolio project showcasing your skills in Flutter and machine learning.

Certification

Upon successful completion of this course, you will receive a certificate acknowledging your proficiency in building machine learning applications with Flutter. This certification demonstrates your ability to integrate advanced ML features into mobile apps and showcases your skills in developing real-time fruit detection systems. It is a valuable addition to your professional portfolio and can enhance your credentials in the field of mobile app development and machine learning.

What will i learn?

  • Develop a fully functional fruit detection app using Flutter for both iOS and Android.
  • Integrate machine learning models with Firebase and Google’s ML Kit for real-time fruit recognition.
  • Gain practical experience in implementing and testing machine learning features in mobile apps.
  • Create a polished and user-friendly application with a responsive UI/UX design.
  • Build a portfolio project showcasing your skills in Flutter and machine learning.

Requirements

Coding Cafe

Jennifer Perez

08-Aug-2024

5

This course offers an engaging and practical approach to integrating machine learning into Flutter apps, focusing on real-time fruit detection. With hands-on projects utilizing Google’s ML Kit and Firebase, it enhances mobile development skills while providing valuable insights into advanced machine learning techniques. Highly recommended for developers!

Susan Henderson

08-Aug-2024

5

This course is a game-changer! It offers hands-on experience with real-time fruit recognition, seamlessly integrating machine learning into mobile apps. The use of Google’s ML Kit and Firebase empowers you to create cutting-edge applications for both iOS and Android. Highly recommended!

Rebecca Long

08-Aug-2024

3

This course offers an excellent blend of mobile development and machine learning, making it a valuable resource for developers. I appreciated the hands-on projects and the clear instructions on integrating ML Kit and Firebase. However, some sections could benefit from more in-depth explanations, especially for those new to Flutter. Additionally, providing more examples of real-world applications for the fruit detection technology would enhance the learning experience. Overall, a solid choice for expanding technical skills.

Anthony Reed

07-Aug-2024

5

This course excels in blending Flutter development with machine learning, providing a hands-on, practical approach. By using Google’s ML Kit and Firebase, learners gain invaluable skills in real-time fruit recognition for both iOS and Android platforms.

Alyssa Campbell

06-Aug-2024

5

This course is an outstanding resource for anyone looking to elevate their mobile development skills. The hands-on approach to integrating machine learning for real-time fruit detection is both engaging and practical. Using Google’s ML Kit and Firebase, I was able to build a fully functional app that works effortlessly on both iOS and Android. Highly recommended for those eager to enhance their expertise in Flutter and machine learning!

Michelle Wright

06-Aug-2024

3

This course offers excellent insights into integrating machine learning with Flutter, creating a practical fruit detection app. However, it could benefit from more in-depth explanations and troubleshooting guidance for beginners.

Dorothy Cruz

05-Aug-2024

5

A must-take course for developers eager to master machine learning integration in mobile apps!

William Myers

03-Aug-2024

5

This course is a fantastic opportunity to merge mobile development with machine learning! The hands-on projects and integration of Google’s ML Kit and Firebase are game-changers, making it perfect for developers eager to boost their skills in real-time app creation. Highly recommended!

Brandon Reed

01-Aug-2024

5

This course offers an exceptional blend of mobile app development and machine learning, guiding you to create a functional fruit detection app. With practical projects using Google’s ML Kit and Firebase, it’s perfect for developers eager to elevate their Flutter skills and embrace cutting-edge technology.

Chloe Allen

01-Aug-2024

3

This course offers a fantastic blend of mobile development and machine learning, providing a hands-on approach to creating a fruit detection app. I appreciated the clarity of the instructions and the practical projects that enhance learning. The use of Google’s ML Kit and Firebase was particularly beneficial for real-world application. However, the course could improve by including more troubleshooting tips for common issues and offering deeper insights into machine learning concepts for clarity. Overall, a valuable resource for developers!

Grace Hall

01-Aug-2024

5

This course is a game-changer! It expertly combines Flutter and machine learning to create a real-time fruit detection app. The hands-on projects and integration with Google’s ML Kit and Firebase provide invaluable skills for mobile developers. Highly recommended!

Kevin Watson

29-Jul-2024

4

This course offers a robust combination of practical skills in Flutter and machine learning, enabling developers to create a functional cross-platform app. Hands-on projects and integration with leading technologies enhance learning. However, it may require prior programming knowledge.

Frank Miller

29-Jul-2024

3

This course offers valuable hands-on experience in integrating machine learning with Flutter, perfect for enhancing mobile development skills. However, it may require prior knowledge in Flutter and machine learning concepts, which could be challenging for beginners. Overall, it's a great opportunity for developers seeking to upskill.

Eric Myers

27-Jul-2024

5

This course is a fantastic blend of Flutter and machine learning, providing invaluable hands-on experience in real-time fruit recognition!

$9.99

$109.99

Lectures

11

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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