Today, artificial intelligence is employed in a wide range of sectors, ranging from entertainment to medical, advertising to business, decision-making, self-driving automobiles, and modeling complicated physical processes. There are millions of apps on digital stores (Google Play Store / App Store) that have capabilities to become more informative and useful by incorporating Artificial Intelligence. Today, we will discuss how to incorporate artificial intelligence into mobile apps using Flutter.
Why is Flutter the Best Option?
For businesses, mobile development has become an essential requirement. However, the fact that there are currently more than 2 million applications available in a competitive market across a variety of industries and it is hard for a new business to step in and make an impact. There are still some businesses that adhere to the conventional strategy of developing and investing in their applications. The remainder wants to expand their reach by implementing the most recent cross-platform solution technologies. Flutter is an example of a product with multiple uses.
Flutter is a cross-platform framework that allows you to develop mobile applications with a beautiful interface for Android and iOS devices. Even though Flutter is still young and emerging, it quickly secured the position of the second most popular framework in the world.
Why combine Flutter with AI?
Companies have seen a 20% increase in sales after employing this strategy, and research shows that 80% of consumers are more likely to purchase a brand that provides a personalized sample. Chat-Bots with AI, Weather Forecast Apps, and Result prediction Apps (Monthly Expenses, Fuel Usage) are common examples. Although there are opportunities to launch AI-integrated mobile applications in other promising areas, artificial intelligence technologies have so far thrived in healthcare, education, finance, e-commerce, and other related fields.
AI-integration Methods in Flutter Apps
Due to the vast community of active mobile developers, and enthusiasts, Flutter offers plenty of ways to integrate AI into Flutter APPS. The following are some methods:
Implementing Custom Machine Learning Models:
Though it is relatively easy to implement models which are pre-trained already but incorporating Custom Models is still a challenge for developers. Thanks, to the flutter community, with the help of “TENSOR FLOW LITE”, a Dart-based lite version of the Tensor flow package allows you to incorporate your “Custom Trained Machine Learning Model” into flutter apps.
Firebase Machine Learning Kit:
Firebase Machine learning Kit is a part of Firebase that allows developers to quickly import Google’s machine learning experience from the firebase console. Whether you are a beginner or an experienced Flutter app developer, you can quickly implement Machine Learning functionality in Android and iOS apps by adding a few lines of code. Following is the list of Machine Learning Models available on Firebase:
• Text and Face Recognition.
• Images Classification.
• Object Detection and Tracking.
• Language Identification.
Summary:
We have studied how artificial intelligence makes mobile apps more useful and informative to users. Due to the large active developer community Flutter offerors multiple resources and methods to pre-trained and Custom machine learning models into Flutter apps using the “Tensor-Flow LITE” package or Machine Learning Kit provided by the Firebase platform.
