Air Quality Control using Machine Learning

Abstract

In recent times, the world has witnessed remarkable advancements driven by various technologies such as advanced computing, self-driving vehicles, and robot-assisted surgeries, among others. However, these technological strides have come with a significant environmental cost, contributing to the pollution of vital natural resources such as air and water. The contamination of air and water worsens health issues, particularly for individuals with respiratory ailments such as asthma and lung infections, posing risks to the overall population’s well-being. This research study has carried out a qualitative research and presents the challenges that demand careful navigation and interpretation in the near future.