How to use Machine Learning in Flutter Apps

Updated 28 November 2023


Machine Learning in Flutter Apps, Machine Learning is a way of making machines learn to grow and learn just like humans with the help of data and algorithms.

It is a sub-domain of Artificial Intelligence (AI).

Machines are not capable of taking decisions on their own, but with the help of Machine Learning, it is possible nowadays.

In Machine Learning, the machines learn and improve from their past analysis and data, they can make predictions without any external programming.

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The most widely used domain of Machine Learning in Flutter apps is-

  1. Vision – It basically takes an image as input and deals with analyzing and interpreting those digital images. Eg. – Text Recognition.
  2. NLP (Natural Programming Processing) – NLP deals with analyzing and understanding human language. Eg. – Language Identification.

We will be working on integrating Machine Learning in Flutter apps with the help of the google_ml_kit plugin. Starting with the ML Integration, in order to pick the image, here we have used the image_picker plugin.

There are multiple categories supported by google_ml_kit like –

  1. Text Recognition
  2. Image Labeling
  3. Face Detection
  4. Pose Detection
  5. Selfie Segmentation
  6. Object Detection

Integration of Machine Learning in Flutter Apps

Let’s begin by adding dependencies to our pubspec.yaml file

To check the updated version of these dependencies go to

So, in order to start working on these detections, we will need to pick an Image either from Camera or Gallery using the image_picker plugin.

Here’s the code for it…

Reference Image –

Within this code, we have wrapped our code inside the try/catch block as it may be possible that the image is not picked correctly or not specified by the user.

Text Recognition

Text Recognition recognizes text in any Latin-based character set.

It helps to recognize the text in real-time on a wide range of devices.

It consists of three major elements-

  1. Block – It is a set of adjoining text lines within the image.
  2. Lines – It is a set of adjoining text elements within the same axis.
  3. Elements – It is a set of adjoining alphabetic characters that results in forming a complete word.

Here, we have created a dart file named lib/textRecognitionScreen.dart

Here’s the Output-

Image Labeling

Image Labeling is a technique in which the MLKit API extracts the information from an image belonging to a group. The default image labeling model can identify general objects, places, animal species, products, and many more elements.

Here, we have created a dart file named lib/imageLabelingScreen.dart

Within this code block, we have also specified the Confidence.

The Confidence Score indicates how sure the NLP service learning model is that the respective intent was correctly assigned

Here’s the Output-



In this blog, we have discussed how to use Machine Learning in Flutter Apps.

I hope it will help you understand.

Read more interesting Flutter Blogs by Mobikul.

Thanks for reading!!


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