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STEP - 2 Training the model: Once the data is ready, the tool uses it to train a machine
learning model. During training, the model learns to recognise patterns and features
in the data so it can predict the correct category when it sees new input.

STEP - 3 Testing the model: After training, you can test your model in real time. This allows
you to see how accurately it recognises new images, sounds or poses. You can also
improve the model’s accuracy by adding more data or adjusting categories.

STEP - 4 Using the model: Once you are satisfied with the model’s performance, it can be
exported and integrated into websites, apps or other digital projects. This allows you
to apply your AI model in real-world applications such as games, educational tools
or assistive technologies.

Ask AIRO

Create a Rock, Paper, Scissors Model using Google Teachable Machine.

How to Improve Your Model?

To make your model smarter and more accurate, follow these steps to refine and enhance
its overall performance:
Add more data: The more examples you provide, the better your model will learn. Try to
collect a variety of data covering different scenarios, so the model can recognise patterns
more accurately.

Use clear and varied data: Make sure your data is clean, clear and high in quality. Include
different examples so your model can handle different situations, like changes in lighting
or angles.
Test the model: Regularly test how well your model performs with new data. This helps you see
what needs improvement and where it is doing well.

Adjust settings: You can adjust the settings in Google Teachable Machine, like training
time and learning parameters. Fine-tuning these settings can help the model learn
more effectively.
Retrain the model: After adding data or adjusting the settings, retrain the model. This helps it
learn from the new information and improve its predictions.

CREATING A PROJECT USING GOOGLE TEACHABLE MACHINE

To create a new project in Google Teachable Machine, follow the given steps:

STEP - 1 Open the Web browser.

STEP - 2 Type the URL https://teachablemachine.withgoogle.com in the address
bar and press the Enter key or scan the QR code.

Introduction to Google Teachable Machine
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