Syed Mustakim Hossain

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Grade 9 | Points: 4100 | Rank: 1806

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Activities

Quick Draw

Can a Neural network learn to recognize doodling? Draw and see it for yourself.

Shy Panda

In this activity, the students will train a Machine Learning model to recognize pictures of their faces with a webcam. Use this model in Scratch to make a character that stops dancing if you look at it and starts dancing when you are not looking at it. Use the Video sensing extension on Scratch.

Cars or Cups

We will train Machine Learning models to sort a set of photos into two piles. We will use this trained model in Scratch that learns to sort photos. Make sure to have at least 20 photos in both piles.

Happy Sad Dog

We will train Machine Learning models to recognize compliments and insults by giving various examples in both the labels. We will use this trained model in Scratch to make a character that reacts to messages based on sentiments.

Testing and Training

In this activity, you will Test and Train a basic model. Choose a topic that you know well enough to answer about. E.g., It could be the place where you live. It could be about your school. It could be about movies or cartoons.

Paint II

In this lesson, you will do a Paint project.

Projects

AI Animal Trainer

In this activity, you'll extend the AI Dog Trainer project by adding both a dog and a cat. You will train the AI to recognize specific poses that trigger different animal sounds. For example: Right hand raised = Dog barks. Left hand raised = Cat meows.

Paint Box II

Includes concepts related to looks, motion, event, pen, variables, and adding backdrops and multiple Sprites.

Paint Box I

Includes concepts related to looks, motion, event, pen, variables, and adding backdrops and multiple Sprites.

Butterfly Color Change Challenge

In this activity, you will train an image recognition model to detect different colors (such as purple, blue, and pink) using Teachable Machine. After training the model, you will use it in Scratch to make a butterfly sprite change its color based on the detected color of an object in the background or stage. This activity introduces you to image classification and how machine learning can be applied to interactive projects.

Ghost Language - Up and Down

In this After-Class Project (ACP), you will extend the Ghost Language activity to include Up and Down movements for the ghost. You will use Teachable Machine to teach the computer to recognize additional sounds, such as upward claps and downward claps. After training the model, you’ll integrate it into Scratch to control a ghost character, making it move up or down based on the sound detected. This interactive activity will deepen your understanding of sound recognition and machine learning, while adding more variety to the ghost’s movement.

My AI friend GIGA

The student will work on the same project that he was doing in class.