REAL-TIME AIR QUALITY PREDICTION USING ADVANCED ML TECHNIQUES

Abstract

Air quality prediction plays a crucial role in assessing and managing environmental risks and public health concerns. In recent years, the advent of real-time monitoring technologies and advanced data analytics techniques has opened up new
opportunities for accurate and timely air quality forecasting. This paper presents a novel approach for real-time air quality prediction that aims to provide reliable and actionable information.