I’ve added a new project worksheet to Machine Learning for Kids, based on the idea of a traffic camera in a carpool lane.
Students create training examples by labelling pictures of cars with random passengers in.
recording of creating the training examples at youtu.be/KtDrKcAwECU
This will result in a collection of images ready for training a machine learning model.
They then use their machine learning model to power a carpool game.
In this game, students control the cars. Each lane has a different speed limit, and they get points for each car that reaches the end of the road.
If they use the carpool lane in a car without any passengers, their machine learning-powered traffic camera will fine them – deducting points from their score.
recording of the carpool game at youtu.be/1VT91z2eqio
It’s a fun and simple project – and makes a quick demo of how computers can learn to recognize details in images.
If you’d like to give the project a try, you can download a PDF with the instructions from the worksheets tab on Machine Learning for Kids.
Tags: machine learning, scratch