How to Build AI Apps with Flutter

Artificial Intelligence is increasingly used in almost all industries, from entertainment to advertising, self-driven cars, business decision-making, etc. In this blog, I will discuss why and how to integrate AI into your Flutter applications.?

There are hundreds of thousands of applications in the Google Play and Apple App Store. However, these apps can become more engaging and robust if you integrate AI capabilities into them.?

Why Should You Go for Flutter App Development?

Mobile development has now become crucial for businesses. From food delivery to electronics, creating robust apps is essential. However, with over 5 million applications existing on the App Store and Google Play Store, it has become incredibly crucial to choose the right eCommerce platform for app development. Using cross-platform solutions can help your application get a higher reach.?

Flutter is a cross-platform eCommerce framework that enables developers to build mobile applications for iOS and Android devices with beautiful interfaces. Even though Flutter is still a new entrant in the eCommerce industry, it bagged the second position as the most popular eCommerce framework in the world.?

Now imagine integrating AI capabilities into this robust framework. I will take you through it all in this blog.?

Why Integrate Artificial Intelligence in Flutter App Development?

Here are some of the top benefits of integrating AI into your Flutter app development:

Improved User Experience?

Artificial Intelligence can help you build more engaging and personalized apps with efficient user experiences. For example, when you integrate chatbots, you get to answer your users' queries and questions better.?

Maximize Your Revenue Streams

You can use AI to develop new features as well as services for your app that can generate higher revenue. For instance, Machine Learning can be used to make personalized recommendations, Computer Vision can help you detect fraud, chatbots can help you sell products, etc.?

When you integrate the capabilities of Artificial Intelligence into your Flutter apps, you unlock new potential for robust mobile development. Personalized predictions and recommendations can improve user experience, minimize development time, and deliver more advanced features.

With machine learning automating your tasks and plugins enhancing your app performance, your AI-powered Flutter app will have a competitive edge in the market.?

Increased Productivity?

Artificial Intelligence will automate repetitive yet vital tasks such as collaboration, document management, customer support, design to code generation, and project management. With so many tasks being automated, developers will be able to free up their time and focus on more strategic work. This will improve productivity and reduce the time of app development.?

Unlocking the Ways of Integrating AI in Flutter App Development

Here are some of the ways of integrating Artificial Intelligence in your Flutter app development project that you need to check out:

Utilize a Pre-trained Model

Developers can use multiple pre-trained AI models to develop Flutter applications. These models can serve several tasks, such as natural language processing, machine translation, and image recognition.?

Cloud AI Services?

Several cloud providers offer AI services that can be easily accessed through APIs. Cloud services like Microsoft Azure Cognitive Services, Google Cloud AI, Amazon Rekognition, etc offer ready-to-use AI solutions that developers can integrate into their Futter app.?

These solutions provide multiple AI functionalities such as facial recognition, speech recognition, language transition, etc.

Custom AI Model

If you want an AI model that is particularly tailored to your app, a custom AI model is an ideal option. You can train your AI model by collecting data, labelling them, and finally employing a Machine Learning algorithm to customize and train your model.?

You can leverage frameworks such as PyTorch or TensorFlow to develop and train your AI models effectively. You are then required to convert them into formats that are compatible with Flutter. After successfully converting, you can utilize and integrate these custom AI models within your Flutter app to perform tasks like object detection, image classification, text generation, etc.?

AI Packages and Plugins

There are multiple Flutter plugins and packages available that offer robust AI-related functionalities. These plugins encapsulate AI operations, making it seamless and easy to integrate AI functionalities into your Flutter app. Plugins like Image Picker enable developers to capture images effectively for AI processing, while plugins such as speech-to-text provide you with speech recognition capabilities.?

Here are some of the top AI frameworks that you can use to integrate AI into your Flutter applications:

• TensorFlow Lite: This framework is a lightweight version of the popular TensorFlow. You can use it to build, deploy, and train machine learning models to develop AI-powered Flutter apps.?
• Firebase ML Kit: Firebase ML Kit offers machine learning APIs that developers can leverage to integrate AI features into the Flutter applications. It comes with multiple pre-trained models that can assist in tasks such as text classification, image recognition, and object detection.?
• PyTorch Mobile: This is a mobile version of the famous PyTorch framework. You can use this to deploy and train machine learning models on your mobile devices.

Now that you know how to integrate AI into Flutter apps, here are a few examples of how developers are using AI in their Flutter applications today:

• Amazon Lex is a robust chatbot platform that leverages Natural Language Processing to develop conversational interfaces.
• Google Lens is another that uses Computer Vision to identify places and objects in the real world.?
• TensorFlow Lite is a popular machine-learning framework that developers can use to run machine-learning models on their mobile devices.?

Conclusion?

When integrating AI into your Flutter apps, you should choose the right Artificial Intelligence technology. Some factors that you can consider include the accuracy level you need, your budget, the type of data your Flutter app will use, etc. Also, you need to gather enough data to train your AI model. Try to gather data from different sources and ensure that it represents the users who will use your Flutter app. Lastly, I recommend having a good Flutter development team with AI experience by your side to ensure app success.