How Artificial Intelligence can be integrated with Android Application Development

Over the last couple of years, we have witnessed many new and emerging technologies making their way straight into the mainstream industry verticals. Among these technologies, Artificial Intelligence, or AI, is one of the technologies that is contributing to the evolution of almost every industry. As an advancement, AI explains the use of human-level intelligence with the concepts of machine learning. That is one of the reasons artificial intelligence affects our daily life.

How can AI make a difference?

Artificial Intelligence is making machines capable of learning and interacting in a similar manner to that of human beings. The AI machines and applications are meant to provide benefits to humans by assisting in getting basic tasks done to deliver desired results.

Second, they are not subject to emotional challenges that are usually faced by humans and can eventually lead to errors in tasks. For instance, AI apps are not biased towards a particular situation, so there won’t be any flaw in the judgment made with AI technology.

AI Features that can be Integrated into Android Apps

Below are the key features that have evolved from the technology of artificial intelligence and can be utilized under Android App Development:

1.      Automated Reasoning Analysis:

It requires the app developer to use the system for logical reasoning to resolve obstacles like puzzles and theorems. Due to this feature, AI can enable systems or apps to excel in stock trading and chess. It is a very powerful function of AI in Android app development. Although it is much more complicated than analyzing the user’s behavior. In automated reasoning, it includes problem-solving on the substructure algorithms. For instance, Uber app uses the best routes by checking the traffic conditions through automated reasoning and come up with the shortest routes.

2.       Labeling of Images:

In the process of image labeling, developers have the option to use an Image Labeler app that can interactively label the ground data in a collection of images, or they can label rectangular ROIs (Region of Interest) for the purpose of object detection, pixel semantic segmentation, and even image classification of scenes. Google lens and Google Photos (cloud-based photo storage) are utilizing these functions to classify images of a person and finding the photos in which the selected face is recognized by Image Labeler.

3.      Face Recognition:

Face recognition can be defined as the computer technology that is now being used in a variety of applications that identifies human faces in a digital image. This is also being used in traffic cameras on a real-time basis for the purpose of surveillance or tracking of persons/objects. Currently, it is broadly used in Android as well as iOS smartphone cameras to identify multiple appearances in the frame. The best example of this would be Facebook, where it uses its own face detection algorithm to detect the faces in the user’s pictures and recognize them.

4.      Text Recognition:

This is a process of detecting the text from images, or video format and then recognizing the text obtained from the media files. Once the text is detected, AI determines what the actual text means by breaking it down into blocks and segments, so the true form of a text can be revealed.

The app developers can use this feature of text recognition as a stand-alone application, or it can further be combined with different mobile apps as an additional feature. For example, there are many gaming apps that use this feature in combination with different tasks.

5.      Improvement in the App’s Productivity:

AI can vitally be used to increase an app’s overall productivity. For instance, Microsoft Office 365 and Google G Suite are the two prominent apps that engage AI in their operations. For example, users to these apps get auto-generated email responses for the messages they receive.

Moreover, Microsoft also uses AI innovation to its other software like Delve and Office Graph. AI assists Microsoft Delve to quickly go through a pile of data and scan or vital information. And the Office Graph get hold of the required information like the document from the held communication.

6.      Creating Personalized Content:

By bringing in AI into apps, a developer can observe the interests of the user and embed it into the learning algorithm. Any app that is based on a sell-up business can strategically pitch content to the user and make use of this wonderful AI functionality.

It is one of the most widely used features of AI in Android apps. Generally, apps don’t get enough attention from their target audience because the app fails to connect with the user. It’s not the content that you create, it’s the cord that you strike with the user.

Artificial Intelligence gives organizations the freedom to reach out to more potential customers in a much more effective and efficient manner. We are well aware of the fact that the AI technology in android is advancing rapidly and in the coming years, it is more likely to get integrated into the Android app development process. This is exactly why many leading companies are incorporating new trends in their digital products and services.