Make your Android Applications smart, use trained model or train your own models explore the power of AI and Machine Learning. This course was recorded using Android Studio 3.6.1 (which is a great introduction to the development environment!) For a smooth experience I'd recommend you use the same, but students can still use the latest Android Studio version available if they prefer! But until I work out how to build a time machine. I have a course named "Machine Learning for Android Developer using Tensorflow lite" on udemy.

With ML Kit's face detection API, you can detect faces in an image, identify key facial features, and get the contours of detected faces. In this post, you'll learn face detection with Firebase ML Kit on Android With face detection, you can get the information you need to perform tasks like embellishing selfies and portraits, or generating avatars from a user's photo. Because ML Kit can perform face detection in real time, you can use it in applications like video chat or games that respond to the player's expressions. See the ML Kit quickstart sample on GitHub for an example of this API in use. To do so, add the following declaration to your app's AndroidManifest.xml

With AutoML Vision Edge, you can create custom image classification models for your mobile app by uploading your own training data. Firebase ML Kit has a lot of features that allows you to perform machine learning on the user's phone. AutoML allows you to create a custom solution exactly for your problem, the best part is you don't need to know machine learning for building your solution. You just have to upload images and AutoML takes care of everything for you. In this blog post we will build an app called SeeFood, the app sees food and tells you what food item it is.

Back in the day, using machine learning capabilities was only possible over the cloud, as it required a lot of compute power, high-end hardware, etc. But mobile devices nowadays have become much more powerful and our algorithms more efficient. All this has led to on-device machine learning being a possibility and not just a science fiction theory. And the list can go on and on. So, in this post, we'll take a look at how to use machine learning capabilities in our Android apps and make them smarter.

So, I know Machine Leaning is there in open and it has been there for quite long. It goes way back in the previous century when it was first coined and brought into existence, now you find it everywhere in daily life so important that your life is probably surrounded by it and you may even not know, consider your smartphones they are called "smart" for a particular reason and in today's time they are "smartest" while getting even more n more from day to day, because they are learning about you from you itself the more you're using it the more your smartphone gets to know you and all of that is just the machine with lines of code evolving with time like humans. It's not just limited to smartphones, it's extensive in technology. But talking about smartphones consisting of apps which makes your life easier on a daily basis, using Machine Learning is a smarter way to build apps and with Flutter building cross-platform apps have been fun for a while and what if you are able to build an intelligent app with fun using Flutter? Don't worry we got you sorted and we got it from basics giving you an overview step-by-step which will help you build Flutter apps using Machine Learning.