• SACHIN KUMAR SINHA
• MD FAHAD
• MOHD SUHAIL

The study “IoT Enabled Air and Sound Pollution Monitoring System” investigates the creation of an all-encompassing system for tracking environmental pollutants. Air and noise pollution sensors, a microprocessor, and a display are all included into this system, which makes use of IoT technologies to monitor environmental conditions. The sensors record ambient noise levels and real-time data on air quality by measuring common air contaminants including particles and gases. A microcontroller handles this data, providing smooth connectivity with an IoT platform. The device has an intuitive interface that makes it simple to view pollutant data. This study intends to improve environmental sustainability and public health via the use of Internet of Things (IoT) technology, sensors, and microcontrollers to provide a scalable system for real-time monitoring and management of air and noise pollution.

Environmental Pollution, Smart Monitoring System, IoT, Cloud Computing and Noise Control.

"IOT ENABLED AIR AND SOUND POLLUTION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e209-e213, November-2023, Available :http://www.jetir.org/papers/JETIR2311431.pdf

"IOT ENABLED AIR AND SOUND POLLUTION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe209-e213, November-2023, Available at : http://www.jetir.org/papers/JETIR2311431.pdf