A high school student at Jericho High School in New York has built an AI framework that can predict air pollution levels with 92% accuracy using neural networks, random forest, and other techniques.
In this episode of TechFirst with John Koetsier, we chat with Richard Ren about his framework, including how he learned to code, why he got into AI and machine learning, what data he’s using, what technologies he’s implementing, and what data is most predictive of high pollution levels.
John Koetsier: A high school student has built an AI framework that can predict air pollution levels with 92% accuracy. Welcome to TechFirst with John Koetsier.
Knowing when it’s a high pollution day is pretty important for a lot of different people. If you have asthma, maybe you’ve got trouble breathing, maybe you’re particularly sensitive to particulate matter in the air. Well, can AI help us predict those pollution levels, what they’re going to be? And how the heck is a high school student building machine learning models?
To find out, we’re joined by Richard Ren, who is a grade 11 student at Jericho High School in New York. Richard, welcome!