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Are you interested in building powerful Android apps with cutting-edge machine learning capabilities? Look no further than ML-Kit Vision API! In this comprehensive course, we’ll take you from beginner to expert in using ML-Kit Vision API to incorporate image recognition and other machine learning features into your Android applications.

With ML-Kit Vision API, you can take advantage of Google’s advanced machine learning algorithms to build smarter, more intuitive apps that can recognize and analyze visual information. Whether you’re building a camera app that can detect objects, a shopping app that can scan barcodes, or anything in between, ML-Kit Vision API has the tools you need to make your app stand out from the competition.

In this course, you’ll learn how to use ML-Kit Vision API to implement a wide range of machine learning features, including image labeling, text recognition, face detection, and more. You’ll get hands-on experience with real-world examples and projects, and you’ll walk away with a deep understanding of how to integrate machine learning into your Android apps.

For source code visit: https://www.simplifiedcoding.net/android-qr-code-scanner-example/

Topics covered in this course include:
👉 CameraX
👉 Barcode Scanning
👉 Face Detection
👉 Face Mesh Detection
👉 Text Recognition
👉 Image Labeling
👉 Object Detection and Tracking
👉 Pose Detection
👉 Selfie Segmentation

If you enjoyed this course on using ML-Kit Vision API in Android apps, then you won’t want to miss out on the other great content available on our channel, Simplified Coding! From Android development tutorials to advanced machine learning concepts, we’re dedicated to bringing you the latest and greatest in technology education. So if you haven’t already, make sure to hit the subscribe button and turn on notifications to stay up-to-date on all our latest videos. And if you found this course helpful, please share it with your friends and colleagues who might also benefit from learning about ML-Kit Vision API. Together, we can help build a smarter, more connected world through technology.

Finally, I want to thank each and every one of you for your support, encouragement, and enthusiasm. It’s an honor to share my knowledge and passion with such a dedicated community of developers. So let’s keep learning, exploring, and building together – the future of app development is in our hands!

You can also check some of my other courses from these links
👉 Dart Programming Tutorial: https://bit.ly/2S8y0Pu
👉 Kotlin Programming Tutorial: https://bit.ly/2Q2puRm
👉 Android MVVM Tutorial: https://bit.ly/3iLfVzu
👉 Android Game Development Tutorial: http://bit.ly/38JmltC
👉 Retrofit Android Tutorial: http://bit.ly/2DEwAl1
👉 Android RecyclerView Tutorial: http://bit.ly/2TqVjPz
👉 Android Room Tutorial: http://bit.ly/2PfQHeN
👉 Firebase Auth Tutorial: http://bit.ly/2WUGhEo
👉 Android Notification Tutorial: http://bit.ly/2Sc6jQl
👉 Building a Complete Wallpaper App: http://bit.ly/30UN8zV
👉 Build Tic Tac Toe in Android: http://bit.ly/30goxW0

❤️❤️ Thank You All for the Love and Support ❤️❤️

#MlKit #AndroidDevelopment #Android

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