What you would learn in Android & Firebase ML Kit in Java / Kotlin course?
This course will cover the Firebase ML Kit features for Android. First, we will learn about Firebase ML Kit as well as the features it offers. Next, we'll learn how to integrate ML Kit into your Android Application using Android Studio. Then we'll explore the features and create Android applications like ML Kit.
Android Application for Text Recognition
Android App to Translate Between Languages
Language Detection Application
Face Detection Application
Android Application for Barcode Scanner
Android App for Object Detection
Application for Landmark Recognition
Stones Recognition Application
Next, we'll learn about Auto ML Vision edge of the Firebase ML Kit. This allows us to train Machine Learning models on our own data and create Android applications for them. The model will recognize different types, and we will create an Android App.
This course will teach you how to combine Firebase ML Kit features to create an Android Application that categorizes images from a mobile gallery.
Learn how to make Android Applications smart
Android Studio uses built-in Machine Learning and Computer Vision, models
AutoML allows you to train models on your own data and create Android applications using AutoML.
To recognize different types of precious stones, you can build an Android application.
Create Android Application to Recognize Text in Images and Documents
Find faces of people, facial landmarks, and expressions
Create an Android Application to scan QR codes and bar codes
Create Android Application to Recognize and Label Images
Machine Learning: Practical Application
Machine Learning can be applied without any prior knowledge of ML
Android App to Translate between 59 Languages
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