How to Implement AI For Android App Development

Technology - once an imagination - now has turned into reality, and the world is racing rapidly towards the tech-enabled era. AI - Artificial Intelligence is undoubtedly a roadway towards success for start-ups, SMEs and Brands around the globe.

Let's understand AI in simple words; Well, it refers to educating machines to execute tasks smartly like human beings. AI enables machines to adapt to the human thought process and intelligence to perform a function utilizing a combination of Machine Learning, natural language processing and mechanism of knowledge management.

At the initial front, the implementation of AI in apps was a challenging endeavor for tech giants like Apple, Google, and others. However, the voice-based search was a great success and proved it handy. Today, placing orders, applying voice instructions and automating customer services are common AI uses. Recently, Google came with an ML Kit for Android App Developers to let them combine a set of pre-built Google-powered machine learning (ML) standards within their applications. These ML models are quite advantageous and support face detection, barcode scanning, landmark recognition, text recognition, voice recognition, and image labeling.

Implementing AI into Android apps is a great option to attract users as it serves the customer requirements in the most unique, comfortable and quickest ways. 

Personalized Experience:

With artificial intelligence injected into your apps, it allows users to endure swift and personalized services and tap into data gathered from various sources at a single place.

For instance; as per source if has been found that 80 percent of Netflix TV shows prescribed to users are based on AI recommendation system.

Secure Mobile Payments:

Artificial Intelligence is of great help in ensuring the security of sensitive information exchanged within portable devices, online payments, customer credentials, and credit card details. With AI's pattern identifying algorithms - AI help to reduce security threat, duplicity, and attacks.

Seamless Communication:

The traditional customer service models are complex and consume lots of time in responding to customer queries, however, with AI customer services can be availed anytime anywhere. The modernized AI-enabled Android apps allow businesses with a fast Customer Care Operation, possible by executing chatbots and smart personal assistants.

Understanding Customer Behavior:

AI offers an effective opportunity to track the user interaction and behavior for application and which is beneficial to have useful insights, learn user preferences, and support to take informed actions. Further, it is beneficial for improving the usability of the app and create a user-centric app promotion strategy. This assures a richer user experience and powerful app downloads, sales, and extract ROI business.

Features Evolved From The Technology Of Artificial Intelligence;

Landmark Detection:

The feature of Landmark Detection on two-dimensional (2D) image consists of finding out the particular points in the image. These are the points that can be typically defined by specialists in a particular research area. Here, in most of the cases, the process of detection can be referred to as an initial step for a major procedure. For example, a Facial Landmark Detection.

Image Labeling:

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.

Face Detection:

Face detection can be defined as a computer technology that is now being used in a variety of applications that identifies human faces in digital images. It can also be used to detect faces in real time for the surveillance purpose or tracking of person/objects. Today, it is widely used in Android as well as iOS smartphone cameras to identify multiple appearances in the frame.

Text Recognition:

The process of detecting the text in images as well as video formats and then recognizing the text obtained from the media files is known as Text Recognition. After the text is detected, we then determine what the actual text means by breaking it down into blocks and segments so that true form of text can be revealed.

The advancement of Technology is taking place at an unprecedented pace and will continue to set the features and functions for the present mobile industry in the most instinctive and innovative ways.