Abstract
Industrial and technical advancements have grown tremendously over the last several decades, along with the unjust & irresponsible use of natural resource. Air pollution refers to the emission of pollutants in the environment that are threatening to the environment, ecosystems, or the health of people as well as other living things. The pollutants pollution, cigarettes, mold, fungus, fermentation, or CO2 are seldom ever common. The main objective of the study is to monitor, depict, & forecast pollution levels. The device uses AI approaches to forecast future pollution levels and the intervals until it would exceed worrisome threshold. IoT and AI implementation in particular were employed to improve the harmony of the pollution control system. Consequently, it is necessary to develop an automation method for monitoring air pollution that is focused on environmental toxicology. This study examines an IoT enabled requirement of better sustainability toxicology for air pollution detection utilising Artificial Intelligence (AI) approach to enhance people's health and address the limits of standard monitoring systems while lowering overall cost. The suggested redesigned work's goal is to use efficient technology and predetermined functionaries to check the condition of air quality in instantaneously when there are dangerous pollutants present in the air.