Machine learning for the assessment and mitigation of SMOG hazard in low-middle income developing countries

This is the first statistical research based on of five years of smog data from 2019 to 2023 in Lahore, using machine learning techniques. This research used machine learning techniques, namely using Python programming for data analysis. Python-based analyses can effectively assess regions with poor air quality and high pollution levels. This allows targeted interventions and restrictions to safeguard community health and avert respiratory disorders.