Skip to content

Repository files navigation

Coding project for University, designed to develop skills in: implementing and testing AI solutions, optimizing AI solutions, creating assumptions and interpretations of data to assist in the future prediction of data, and adapting an AI-optimized solutions for additional applications. This project implemented AI algorithms to address an optimization problem related to urban air quality and health risk prediction.

About

Optimized AI algorithms to predict urban air quality and health risks using data modeling, testing, and scenario-based forecasting.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages