G34-6 Game Controls (AI and ML)

Grades 1–3

Introduction

Create AI Interactive Systems And Explore Concepts Such As Motion Detection, Image & Gesture Recognition. ### Learning outcomes: Familiarity with AI Concepts such as * Image Recognition * Speech Recognition * Gesture recognition

What Your Child Will Learn

Course Content

* What is AI * Machine learning * Supervised Learning * Gather and train data * Classification of data * Image Recognition

* Creating a machine learning model * Import machine learning model in Scratch. * Detecting different categories of the trained model in Scratch. * Triggering events with different classes.

* Exploring the difference between AI and a simple system * Keyword recognition * AI chatbot * Simple chatbot * Intent Recognition

* Training an ML model to recognize the different hand shapes * Image Recognition * Gesture Recognition * Game Controller

* Audio Classification. * How different audio/sound is interpreted and then sorted by machines. * Visualising different sounds

* Pose Recognition * Application of Pose recognition * Pose blocks in Scratch * Applying Pose recognition for triggering an alarm

* Gesture recognition * AI tools from Google * controlling music with different gestures

* Introduction to video filters * Face Sensing Introduction * Face sensing blocks in Scatch * Learn how to make games with face sensing.

* What is Natural language processing (NLP) * Text Classification * Applications of NLP

* What is a Neural Network * Neural Network applications * Exploring Quickdraw * AI ethics

* Integration of ML model with Microbit * Application of previous concepts

* Presentation of intelligent model/final project

Let's verify what our students have learned....

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