Android apps with artificial Intelligence
What you'll learn
- You will learn the basics of building machine learning models
- You will learn the basics of Android Studio and how to use it in building applications
- You will learn the basics of the Kotlin and python languages
- You will learn about MLkit library and how do you use it to build AI apps
Requirements
- You need to download Android Studio program
- It would be good if you have a little experience in any programming language
Description
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.
Who this course is for:
- For all developers who want to put AI into their apps
Instructor
Welcome, I’m Riad!
With over five years in AI and Machine Learning, I've developed and deployed advanced algorithms across various domains, including deep learning, reinforcement learning, AI-driven image generation, and Brain-Computer Interface (BCI) technologies.
On Kaggle, I earned silver medals in both the MOA Competition and the Pet Finder Challenge. Beyond competitions, I've created innovative AI solutions that bridge human neural activity with digital systems.
I'm passionate about making complex AI concepts accessible and actionable. Join me to explore cutting-edge techniques that can transform your ideas into impactful solutions.