Last updated on June 21st, 2023 at 09:17 am

Ever since its inception, Artificial Intelligence (AI) has vastly altered the scope of our smartphone utilization. It has brought a new era of innovation and convenience to our lives.  It has now become an integral part of our lives, and is now easily accessible through our smartphones.

The Artificial Intelligence Market is projected to grow exponentially over the next decade, and it is expected to grow around USD 2,967.42 billion by 2032 from USD 94.5 billion in 2021 at a 36.8% CAGR.

The Android operating system commands a vast following in the mobile technology realm due to its pervasive array of best ai apps emerging day by day while making our everyday life easier. These operational programs utilize a convergence of sophisticated technologies such as, among other things, machine learning algorithms, natural language processing and computer vision.

Through the seamless integration and utilization of these artificial intelligence (AI) methods, these apps impart helpful functionalities that assist user experience.These apps can help us perform various tasks more efficiently and add fun and creativity to our lives.

Within this article, we shall look into how the integration of AI is a crucial concept in the Android app development market and a few of the most prominent AI applications for Android that have made a worthwhile impression in recent times.

Without further wait, let us dive into the exploration of the AI and top apps here to stay!

Importance Of AI In Android App Development

There exist myriad explanations as to why the inclusion of Artificial Intelligence in Android applications is evolving into an indispensable characteristic.

Firstly, AI can help to enhance user experience by providing personalized and relevant content to users. With AI-powered recommendation engines, apps can suggest products, services, and content that align with the user’s preferences and interests.

Subsequent to that, the utilization of AI technology can potentially augment the functionality of Android applications through its ability to streamline resource allocation and abate power consumption. Employing artificial intelligence algorithms enables applications to discern patterns in user conduct and fine-tune their efficacy accordingly, culminating in optimized battery life and expedited response times.

The utilization of AI can also aid in enhancing the security aspect of Android applications by identifying and obstructing any form of illicit activity, such as hacking or phishing attempts. AI-powered security features can analyze user behavior and detect anomalies that may indicate a security breach.

Best Android-Friendly AI Apps

There are many great AI apps available for Android, but here are some of the top ones:

1.     Behold Google Assistant

 A prominent AI-powered personal assistant with the ability to help you with an impressive range of tasks but not only, setting quick reminders for appointments or daily routines, initiating phone calls and efficiently transferring text messages with absolute ease.

2.     Cortana

The omnipresent and favored AI app, Cortana, brought to us by the titans of technology at Microsoft Corporation, is an indispensable asset to effectively manage one’s daily affairs. With its sophisticated algorithms and intuitive interface, it can aid in tasks ranging from setting timely reminders to organizing your schedule and conducting online searches with ease.

3.     Alexa

Indubitably, Amazon has introduced the remarkable Alexa – an artificial intelligence (AI) based bot assistant that can seamlessly aid you with multifarious chores ranging from playing a symphony to maneuvering your intelligent home gadgets.

4.     SwiftKey

SwiftKey, a keyboard fortified with artificial intelligence capabilities, employs predictive text functionality to propel your typing speed and accuracy forward.

5.     FaceApp

FaceApp, an application empowered by artificial intelligence (AI), is a remarkable photo editing tool that boasts the capabilities of transforming your ordinary photographs into awe-inspiring masterpieces. Its extensive selection of filters and effects can emblazon each image with its own unique flair, breathing new life into common snapshots.

6.     Prisma

Prisma stands as a noteworthy addition to the realm of AI-infused photo editing applications, which grants users the freedom to metamorph their regular photos into captivating artistic expressions alluding deep perspectives and emotive flair by employing an array of filters it offers.

7.     Grammarly

Grammarly – Grammarly is an AI-powered writing assistant that can help you improve your writing by checking for grammar, spelling, and punctuation errors.

8.     Hound

Hound is an AI-powered voice assistant that can help you with a variety of tasks, including making phone calls, sending text messages, and finding nearby restaurants and businesses.

9.     Robin

Robin is another AI-powered voice assistant that can help you with a variety of tasks, including setting reminders, making phone calls, and sending text messages.

10.     IFTTT

 IFTTT (If This Then That) is an AI-powered automation app that allows you to create custom recipes that automate tasks across various apps and services.

How to Deploy Machine Learning Model in Laravel Application

The incorporation of a Machine Learning (ML) model into your Laravel application is a multifaceted process, which can be completed through several different phases. Organizations hire Laravel developers who are well-versed with integrating  AI practices within the development practices to deploy a trendy market-leading Android app.

Allow me to pen you down with a step-by-step comprehensive process of integrating Machine Learning Model in Laravel Application:

1.     Train and save the ML model

Before deploying the model, you need to train it on a dataset and save the trained model as a file. As a practitioner endeavoring to advance machine learning models, it is probable that one would opt for employing conventional applications such as scikit-learn, Keras, or TensorFlow libraries. Through the utilization of these aforementioned resources, one can successfully train their model and preserve this valuable information in a format that facilitates easy access at a later time.

2.     Leveraging the powerful capabilities of Laravel

 It’s now time to forge a route that can adeptly receive queries directed towards the ML model. Thus, your next strategic move must entail carving out an intelligently crafted passage through which all inbound requests can smoothly travel towards the destination they intend to reach within the framework. There are two options available to you when it comes to creating a new route. You can either modify the existing web.php file, or you may create another controller that can manage the incoming requests.

3.     Load the ML model in Laravel

This step encompasses loading the ML model in Laravel. It is primal to integrate this step in order to attain successful execution of your intended outcomes. You can do this by using the appropriate library or function for your model.

4.     Process the input data

When a request is made to the route, you need to process the input data and prepare it for the ML model. This can include cleaning and transforming the input data to match the format expected by the model.

5.     Make predictions

 Once the input data is processed, you can pass it to the ML model and make predictions. The predictions can be returned as a response to the original request.

6.     Handle errors

Ultimately, it is pivotal that you acknowledge and amend any conceivable flaws that could ensue amidst the implementation of this process. It is highly imperative to effectively address these concerns within a reasonable timeframe to avoid any adverse effects on the ultimate goal. Utilizing proper measures in dealing with such matters is crucial for achieving desired outcomes without hindrance. This can include error handling for invalid input data, errors in the ML model, or errors in the deployment process.

Wrapping Up

The advancement of AI technology has made our smartphones more than just communication devices. The eminent technological advancements in recent years have opened up a plethora of opportunities for us to leverage artificial intelligence-enabled applications. These powerful tools have revolutionized the way we approach our daily duties and interact with modern-day devices. From virtual assistants to photo editing apps, the possibilities are endless. Within this article discussing the most advanced artificial intelligence applications for Android, we have presented merely a handful of the numerous trailblazing apps that currently exist on the platform. It is hardly an overhyped notion that as the sophistication of artificial intelligence technology continues to surge forward, we should anticipate witnessing a plethora of novel applications that will revolutionize several spheres of human existence that were previously deemed stagnant.