A Survey Paper on an IoT-based Machine Learning Model to Predict Air Pollution Levels

In today’s quickly developing world, air pollution is a major worry. As pollution rises in the earth’s atmosphere every day, so do its rates. The problem is typically caused by toxic fumes released into the air as a result of a broad range of human activities. It is necessary for the current generation to understand the risks posed by these circumstances and to take effective measures to minimize them before the ecosystem is destroyed. This study examines studies of machine learning approaches (MLAs or MLTs) and Internet of Things in predicting air quality, as well as forecasting air pollution levels so individuals can take action to reduce pollution.