Leveraging AI and IoT to predict heatwaves in Canada: A climate health initiative

This project uses AI and smart thermostats to predict heatwaves in Canada, helping protect public health. By analyzing indoor and outdoor temperature data, we aim to improve heatwave forecasting and understand how extreme heat affects indoor spaces. Using machine learning, we develop models to predict future indoor temperatures, supporting better planning and response strategies. The project benefits institutions by providing valuable data for public health officials and policymakers, helping them create early warning systems and improve heat-related safety measures, especially for vulnerable groups.

Faculty Supervisor:

Plinio Pelegrini Morita

Student:

Partner:

National University of Kharkiv

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Environmental Science and Technology; Sustainability & the Environment

University:

University of Waterloo

Program: