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The working process of Teachable Machine is given in the following steps:
Step 1: Data Collection: Users start by selecting the type of model they want to create and can upload media
files or use their webcam to collect data for training.
Step 2: Labeling: Users label the uploaded data by assigning it to specific classes.
Step 3: Training the Model: After data labeling, users train the model simply by clicking the Train Model button.

Step 4: Testing the Model: Once the model is trained, users can test its accuracy using new data inputs and
receive instant feedback on its predictions.
Step 5: Exporting the Model: When users are satisfied with the model's performance, they can export it for
integration into applications or further use.

AI Activity
AI Activity
Teachable Machine
Smart Sorter is an AI model that uses computer vision technology to sort the items on the
basis of various factors or labels. Let us learn how to build a smart sorter in Teachable
Machine.

Step 1: Open Google Chrome and enter the following URL:
https://teachablemachine.withgoogle.com/
Press the Enter key. The following page opens.

Step 2: Click the Get Started button. The following page opens. Select the Image Project option.

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