Project Description: Urban Air Quality Index Project
This project evaluates urban air quality (Good – Moderate – Harmful – Highly Toxic) by analyzing pollutant gases such as nitrogen dioxide (NO₂), carbon monoxide (CO), and others caused by traffic and industrial activities. It uses machine learning, specifically regression algorithms, to process gas concentration data collected by specialized sensors. To simplify the initial learning phase, ready-made datasets were used instead of direct sensor input.
