Class Project Rock Paper Scissors

The video tutorial guides viewers through creating a Rock Paper Scissor game using image recognition and machine learning. It covers setting up a new project, collecting data, training a model, and implementing the game using Scratch. The tutorial also explains how to integrate machine learning with game logic to determine the winner based on hand gestures recognized by the model.

What is the primary purpose of the Rock Paper Scissors project introduced in the video?

• To design a new hand gesture language

• To use image recognition to play against the computer

• To develop a mobile app

• To create a new board game

How many samples of each hand gesture are required for training the model?

• 5 samples

• 20 samples

• 10 samples

• 15 samples

What programming language is used to integrate the machine learning model with the game?

• Java

• Scratch

• JavaScript

• Python

What is the role of the 'custom images' block in the Scratch project?

• To take webcam photos for gesture recognition

• To store game scores

• To animate the game characters

• To create new sprites

How does the computer decide its move in the Rock Paper Scissors game?

• Based on user input

• Using a fixed sequence

• Randomly selecting rock, paper, or scissors

• By analyzing previous moves