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Flitter Your Business With AI Integrated Flutter App Development

Development of mobile applications *Machine learning *Software Artificial Intelligence Flutter *
Source: Google Images
Source: Google Images

As we all are aware of the fact that the digital market is heavily leaning towards a reliable UX-driven process, app development has become quite complex, especially for targeting the industry for mobile platforms.

For every organization, creating a product that is beneficial for their customer needs always comes up with a plethora of challenges. 

From the technical point of time, there are various challenges that every business faces, including selecting the right platform for the app, the right technology stack or framework, and creating an app that fulfills the needs and expectations of customers.  

Similarly, there are more challenges that every business faces and needs to cope with while creating its dream product. 

So, what to do??

Well, what if I say that the answer to all your queries and questions is Flutter app development with Artificial Intelligence (AI)  integration……

Surprised? Wondering how? 

Well, AI in Flutter app development is one of the best advancements in the software market. The concept of AI was first introduced during the 20th century with loads of innovations and advancements that we are still integrating into our mobile app development. 

But, what are Artificial Intelligence and Flutter app development? 

What is Artificial Intelligence?

Artificial intelligence is the integration of human intelligence into machines that are designed to think like humans and mimic their actions much better. In a simpler term, it is a machine that exhibits traits leveraged with a human mind, such as problem-solving and learning. 

What is Flutter?

On the other hand, Flutter is a best-in-class cross-platform framework used to build applications with beautiful user-interface for iOS, Android, Linux, Google Fuchsia, and Windows in a much easier way. 

Do you know? 

  • 78.0% of Flutter developers deploy the stable channel, 11.0% uses master or dev, and 11.0% uses beta. 

  • There are more than 90,000 Flutter apps in the Play store, with around 10,000 uploads in one month. 

  • India, China, the United States, Brazil, and the EU are the top five territories for Flutter. 

Now, how does AI benefit Flutter app development? 

Benefits of Artificial Intelligence Integration in Flutter App Development

Undoubtedly, advanced technology and computers have offered us a plethora of phenomenal opportunities, and artificial intelligence is one of them. AI is like a shining star in the growing sphere of blooming of android app development services, and it is rapidly changing with excellent refurbished techniques. 

Furthermore, it is more acknowledged when it comes to bettering the business’s development and growth and its connection with its target audience. While talking about AI integration in flutter development, one can build some of the most reliable, robust, and scalable iOS or android apps. 

A broad range of features can be integrated into these android or iOS apps, including text recognition, face recognition, and barcode scanning.  It also offers customers some amazing user-interface experiences. 

With the proper integration of AI into business, the Flutter app development company can provide a number of best-in-class Flutter app development services. 

Now, the question arises here is how to do it? How to integrate AI into Flutter app development? Well, no problem! I have covered this too! 

Let’s find out! 

Methods of Integrating Artificial Intelligence in Flutter App Development

So, to integrate artificial intelligence into your Flutter mobile app development, you need a model and a way to reach that model. In Flutter app development, the method of integrating AI is- 

  • On-device models

  • Firebase AI Kit

  • Models as APIs 

So, let’s understand these points in brief- 

  1. On-device Models

If you are looking for something that can help you to perform high-speed inference directly on the smartphones of the app users, then On-device models are the best choice for you. It is a very powerful and popular program used by thousands of developers. Now how to use it? 

Well, you can create your model on TensorFlow models and then export them with the name of .tflite files. You can easily use the AI/ML Kit plugin for Flutter app development and import them within the project repository named with the stored .tflite file and deploy them for interference. 

You can create Flutter applications deploying the Face detection model offered by Firebase. You can download Firebase and then use it as an on-device Flutter app development model. This technique is best suited when you strive for your mobile apps to experience zero lag in time.

2. Firebase AI/ML Kit

AI/ML Kit is a kind of the Firebase suite that allows android app developers to quickly import and deploy machine learning or artificial intelligence models from the Firebase console. Besides, this method can host and import tailor-made models, and there are a plethora of ready-made-state-of-the-art models available in Firebase, including- 

  • On-device translation

  • Face detection 

  • Object tracking & detection

  • Smart reply 

This technique is perfectly suitable when your app is using Firebase, or you have a customized model but do not wish to host it on your own server setup.

It is quite easy to cache the models programmed on Firebase, and thus this method is suitable too for a model which expects regular but not very often updates. You can hire flutter app developers to integrate Firebase ML/AI kit. 

3. Models as APIs

This is one of the popular techniques of deploying AI/ML with apps. In this model, the model is wrapped in an API service in a beautiful way and hosted using web-based servers. 

These described servers include some popular names, such as Google App Engine, AWS Lambda, Heroku, and Virtual machines with a fixed runtime that empowers running the model smoothly and serving it as a web-based service. 

Furthermore, this technique is the best suitable when you have some amount of experience working with web interfaces and servers. 

Now, when we know how AI is benefitting in flutter app development and how to integrate AI into flutter mobile app development. 

You can consult flutter development companies in India to integrate models as APIs in flutter app development.  

Let’s have a look at whom all is currently integrating AI into their flutter app development. 

Early Adopters of Artificial Intelligence-based Flutter Apps

1) Google

There is no doubt that Google never misses an opportunity to be great and unique! Have you ever thought about how Google is so intelligent? 

One answer could be Google constantly searches for innovation, and the second would be its early adoption of AI into Flutter app development. You might be surprised to hear that Google is the first company who experienced and took advantage of the power of AI integration.   

It is usually the abundance of its product, such as Google Assistant, Gmail, and Google Translation. AI in the flutter apps helps in enhancing the performance and delivering a better user experience. 

2) Netflix

Netflix has become one of the most popular video streaming apps offering an excellent user interface and experience, creating millions of dollars as revenue. From the user interface of the app to its limitless treasures, Netflix has a plethora of viewers who are glued to the screen for around 6-7hours. 

But above all these points, AI integration in its app has helped in gaining a lot of customers and popularity as well.  

Some of the most successful AI practices 

  • Personalized Shopping recommendation 

According to a survey, 80.0% of the shoppers are more inclined towards the brand that provides a customized experience, and organizations have noticed a 20.0% of surge in their sales after deploying personalized experiences. 

  • AI-driven Chatbot

The deployment of chatbots to your business websites or mobile apps can precisely lead to better customer turnaround times and services. Thus, the market size of a chatbot generated a revenue of $2.6 billion, and it is projected to reach $9.4 billion by 2024 with a surging CAGR of 29.7%. 

  • Voice optimization 

The impression of voice optimization on modern flutter app development can ensure an amazing level of convenience regarding navigation and accessibility, therefore, around 20.0 billion by 2020.      


Artificial intelligence is one of the best achievements of mankind till date. In addition, AI has carved out an amazing impact in the operating of the Flutter mobile apps. 

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