Infographic: Artificial Intelligence in Android App Development

The evolution of technology is now paving the way for innovation in Android app development. The latest emerging technology to replace Android apps is Artificial Intelligence. AI is a technology that allows Android developers to create apps that provide highly relevant and personalized experiences.
AI can be a costly proposition for app development. It’s important to work with an Android app development company to help you take advantage of the benefits of technology and maintain and manage apps for optimal performance.
Artificial Intelligence is a change and so forth, here is a prediction that could shape your future, the global market value of AI will cross US 17 17 billion by the end of 2020.
Google is also promoting AI and has released an AI-based toolkit to help Android developers come up with apps easily and simply.
To take your app to the next level, it’s important to hire a dedicated Android app developer to integrate AI into the Android app. This will help in meeting the needs of the customers quickly and easily. This infographic provides details of the role of artificial intelligence in Android app development.

Features of Artificial Intelligence
Face detection
Face detection is an advanced technology that is used in many apps not only to identify human faces but is also presented in different frames, especially in security and tracking apps for people or objects, that need to integrate face detection, Snapchat is A perfect example of an app that recognizes faces that allow filters and face-swapping.
Text recognition
Text recognition is basically used to find text in images or videos and retrieve them from media files. After searching for text, it is important to reveal the original form by splitting it into silos to understand the meaning of the actual text. This will be a smart step to getting into Android apps. It would be great to create a separate Android app or roll out updates for an existing app with this feature.
Google’s ML Kit offers pre-trained models for APIS and general mobile usage cases, including text recognition, face detection and barcode scanning. Creating an Android application that can process images and return labels for all the different entities identified in the image, such as locations and products and more.
Image Labeling
Google’s ML Kit offers pre-trained models for APIS and general mobile usage cases, including text recognition, face detection and barcode scanning. Creating an Android application that can process images and return labels for all the different entities identified in the image, such as locations and products and more.
Smart Reply
Google has shared how GMAIL has become smarter by using Artificial Intelligence (Al) Smart Reply using Machine Learning (ML) while saving a lot of time in communication when included in the Android application. Therefore, businesses looking to upgrade Android apps or develop new apps should have smart feedback as one of the key Al features in the Android application.
ML kit
Google has launched a software development kit for app developers on iOS and Android to add artificial intelligence-powered features to mobile apps. Regardless of the OS, Google is integrating a number of pre-built machine learning models into their apps.
Artificial Intelligence Statistics and Facts
- The global market value of Al is going to cross 17 billion US dollars by the end of 2020
- 83% of early Al adopters have already achieved significant (30%) or moderate (53%) economic benefits.
- Al will increase profitability by 38% and generate આવક 14 trillion in additional revenue by 2035
- 61% of companies with innovation strategies are using Al to identify new opportunities
- By 2020, almost every new software product will have Al Technology
- Google is also promoting Al and has released an Al-based toolkit to help Android developers come up with apps easily and simply.
The bow has grown very fast in artificial intelligence. You need to move forward with it so that you can grow your business. We have a developer to help you meet your needs. Stay in touch with our team to create Android apps with Artificial Intelligence.
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[…] Artificial intelligence is also known as machine intelligence in computer science. AI, processing by machines mimicking human intelligence. The process involves three steps: learning, reasoning and self-correction. […]