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Have you ever wondered how your phone can recognise your face to unlock itself or how some
apps can identify songs just by listening? This amazing ability is made possible by machine
learning, where computers learn from examples, just like humans do. In simple terms, machine
learning is a type of artificial intelligence (AI) that allows computers to learn and improve from
experience without being explicitly programmed.
In this chapter, we'll explore Google Teachable Machine, a free, fun and easy-to-use online tool
that lets you create your own machine learning models. You don’t need to be an expert or a
computer scientist. With just a few clicks, you can teach a computer to recognise different objects,
sounds or even body poses.

GOOGLE TEACHABLE MACHINE

Google Teachable Machine is a web-based tool created by Google that allows users to build
machine learning models without needing any coding experience. It’s designed to help people,
especially students, understand how artificial intelligence (AI) works by offering a hands-
on, interactive learning experience. With Google Teachable Machine, you can train models to
recognise images, sounds and even poses using your webcam or microphone.
By uploading data like photos or sounds and sorting them into categories, users can create custom
AI models that make predictions. It’s a fun and easy way for students to explore the basics of
machine learning and AI.

Key Features of Google Teachable Machine

Some key features of Google Teachable Machine are as follows:

Easy to use: It has a simple drag-and-drop interface. If you can use a website, you can use
Google Teachable Machine.
No coding required: You can build powerful AI models without writing a single line of code.

Versatile: You can create projects that recognise images (such as objects or facial expressions),
sounds (such as claps or snaps) and poses (such as hand gestures or dance moves).
Fast training: It trains your model quickly in your web browser, so you can see the results of
your work in minutes.

Free and accessible: It is completely SMART Google Teachable Machine enables
free to use and works on any computer SPARK sign-language recognition that translate
with an internet connection. gestures into text or speech.

WORKING OF GOOGLE TEACHABLE MACHINE

Google Teachable Machine works in a few simple steps.

STEP - 1 Collecting data: The first step is to gather data such as images, sounds or poses. You
then organise this data into different categories or classes. For example, if you are
training a model to recognise fruits, you might have separate categories for apples,
bananas and oranges.

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