Android apps with artificial Intelligence

Course Overview

What does this course tell?
(Please note that the following overview content is from the original platform)In this course you will learn how to build Android applications and also learn about MLkit to use artificial intelligen in your application Here we will make three applications all of which use mlkit You do not need strong experience in programming or artificial intelligence and machine learning just a simple experience where we will explain from scratch In each section you will find its own code The most important thing is that you apply every example we take in practice to do this you must download the Android studio program In the course we will talk a little about Python and how to train models after that we will use Android studio to build applications we will use kotlin to build these applications We will also learn how to design the user interface to our app The first application will be about classifying the state of the eye whether it is closed or open the second application will be about how to identify the contents of images the last application will be about identifying objects in any imageEach one of these applications will teach you a lot of things and techniques that you can use elsewhere for example uploading images or taking photos in addition to learning the mlkit library
We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
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What skills and knowledge will you acquire during this course?
During this course on Android apps with artificial intelligence, the learner will acquire the following skills and knowledge:

1. Building Android applications: The course will provide a comprehensive understanding of how to develop Android applications using Android Studio and Kotlin programming language.

2. MLkit integration: The learner will gain knowledge on how to incorporate MLkit, a machine learning framework provided by Google, into their Android applications. This will enable them to leverage artificial intelligence capabilities in their apps.

3. Introduction to Python and model training: The course will briefly cover the basics of Python programming language and how to train machine learning models using Python. This knowledge will be useful for understanding the underlying concepts of MLkit.

4. User interface design: The learner will learn how to design user interfaces for their Android applications, ensuring a visually appealing and user-friendly experience.

5. Eye state classification application: The course will guide the learner in building an application that can classify whether the eye is open or closed. This will involve implementing image processing techniques and utilizing MLkit for classification.

6. Image content identification application: The learner will develop an application that can identify the contents of images. This will involve using MLkit's image labeling capabilities to recognize objects, text, and other elements within the images.

7. Object identification application: The course will teach the learner how to build an application capable of identifying objects in any given image. This will involve utilizing MLkit's object detection capabilities to detect and classify objects present in the images.

8. Practical application of concepts: Throughout the course, the learner will be encouraged to apply the concepts and examples discussed in practice. This hands-on approach will help solidify their understanding and enable them to use the learned techniques in real-world scenarios.
Who will benefit from this course?
This course will benefit individuals who are interested in Android app development and want to incorporate artificial intelligence into their applications. It is suitable for beginners with basic programming knowledge and no prior experience in artificial intelligence or machine learning.

Specific professions that can benefit from this course include:

1. Android App Developers: This course will provide Android app developers with the knowledge and skills to build applications that utilize artificial intelligence using MLkit. They will learn how to integrate MLkit into their apps and use it for tasks such as image classification and object identification.

2. Mobile App Designers: The course covers user interface design for Android apps, allowing mobile app designers to learn how to design the user interface for AI-powered applications. They will gain insights into creating visually appealing and user-friendly interfaces for apps that utilize MLkit.

3. AI Enthusiasts: Individuals interested in artificial intelligence and machine learning can benefit from this course as it provides an introduction to MLkit and its usage in Android app development. They will learn how to train models using Python and apply them in Android apps, expanding their knowledge and skills in AI development.

4. Image Processing Professionals: Professionals working in image processing or computer vision fields can benefit from this course as it covers topics such as image classification and object identification. They will learn how to use MLkit to analyze and process images, which can be applied in various industries such as healthcare, security, and e-commerce.