• Prof. S.A. Itkarkar
• Shruti sarode
• Esha Singh
• Aarti Swami

Due to excessive decibel levels and lethal chemicals that are naturally occurring in the environment, air and pollution in major cities are now daily important issues that require specific care. Hence, in order to ensure a healthy way of life and a better future, it is currently important to limit pollution (both air and noise). In this study, a good implementation of the internet of things is used to monitor environmental factors such as air pollution and noise pollution. Because of the high decibels and harmful gases present in the earth that directly affect human well-being and as a result demand for an unusual level of concern, air and pollution problems now occur every day in metropolitan areas. In this way, it has finally come to light. In this work, a powerful application of the internet of things is used for perceiving air quality conditions including noise and pollution. This essay illustrates an applied design for a flexible, flexible, and cost-effective method of evaluating the air and sound quality of a chosen website. This framework suggests a noise and air quality-related perceptual framework that enables us to monitor and assess real-time sound and air quality in a specific area using IoT. Framework makes use of air sensors to measure the distance of dangerous gas mixtures that are visible all around and frequently relay this information.

"Iot Based Air & Sound Pollution Monitoring and Rainfall Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p92-p95, May-2023, Available :http://www.jetir.org/papers/JETIR2305G13.pdf

"Iot Based Air & Sound Pollution Monitoring and Rainfall Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp92-p95, May-2023, Available at : http://www.jetir.org/papers/JETIR2305G13.pdf