How AI Can Be Used for Android App Development

March 29, 2019

Over the last couple of years, the world has seen many new and developing technologies making their way directly into the mainstream consumer market. Among these technologies, AI (Artificial Intelligence) has been one of those technologies which are a major game-changer in the current development of technology.

That’s precisely the reason this article was written. To explain the contribution of A.I. in Android app development and what is the significance of artificial intelligence in the mobile app development industry also the role of a mobile app developer.

As a development, AI technology enlightens the fact that machine- intelligence has reached a great depth of knowledge already. If you are a business owner looking to hire a mobile app developer to develop an android app solution for you, consider the following contributions of AI.

Role of AI Technology for Android Development

The technology of Artificial Intelligence is essentially making machines skilled enough for learning and relating in a similar way to that of us, human beings. These developments in A.I. machines and applications are meant to provide advantages to humans by helping in getting mundane tasks done in an appropriate way that delivers a precise result.

Another cause of AI-based software and machines being highly fruitful is that they are not exposed to various emotional challenges that are usually faced by humans and can ultimately lead to blunders in the tasks. For example, artificial intelligence apps are not prejudiced towards a particular condition so there won’t be any defect in the decision made with AI technology.

This progressing technology has practically found its way in every noteworthy industry vertical, from the travel sector to the healthcare sector, AI in software is now a certainty that we are currently living in.

Need for Artificial Intelligence for Android Devices

Even the tech giant, Google made the official statement of shifting its chief priorities in the Google I/O Session, held in the year 2017. So, as an alternative to ‘Mobile First’ Google has now chosen ‘A.I. First,’ and moreover, a completely new series of programs and toolkits were rolled out as well.

The reason behind releasing these new AI-based toolkits and software was to encourage the technology on the elementary level where Android developers from all across the sphere can effortlessly create artificial intelligence apps for the Android framework.

The entire new series of toolkits also comprises of the Android Jetpack which permits to hire app developers to effortlessly start with mobile app development.

Some of the principal features that have progressed from the technology of artificial intelligence are:

  • Landmark Detection
    The technology of Landmark Detection on a 2D image consists of the discovery of the particular points in the image. These are the points that can be classically well-defined by specialists in a specific research area. Here, in most cases, the procedure of discovery can be referred to as an initial step for a major process.
  • Image Labeling
    In the procedure of image labeling, creators have the option to use an Image Labeler app that can interactively tag the ground data in an assortment of images. Or they can tag rectangular ROIs (Region of Interest) for the premise of object detection, image classification of scenes or pixel semantic segmentation.
  • Face Detection
    Face detection can be explained as a computer technology that is now being used in an assortment of applications that recognizes human faces in digital pictures. It can also be used to sense faces in real time for investigation purposes or tracking of a person or object. Today, it is extensively used in Android as well as iOS smartphone cameras to recognize multiple presences in the frame.
  • Text Recognition
    The procedure of spotting the text in images as well as video formats and then identifying the text gained from the media files is known as Text Recognition. After the text is spotted, we then regulate what the actual text means by breaking it down into chunks and segments so that a true form of a text can be understood.


You’ll be able to hire app developer who can use the technology of text recognition as a stand-alone application, or it can further be united with different mobile apps as a supplementary feature. For example, there are many gaming apps that use this feature in amalgamation with diverse tasks.