ISSN:2582-5208

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Paper Key : IRJ************749
Author: Nikita Manikrao Chavan,Sakshi Amit Date,Mrudula Sandeep Aher,Prof. K.s. Bhagwat
Date Published: 08 Nov 2024
Abstract
In modern cities, as the population grows significantly, noise pollution likewise rises at a never-before-seen rate. This system offers a low-cost, adaptable, and dependable automation system with internet access, remote device control via a web application, and individualized alert messages using a Raspberry Pi. The suggested method makes use of an Internet of Things IoT paradigm to identify ambient noises and human speech in a closed space. The alert messages are also readable by the user. This research project uses a Raspberry Pi to automate a noise detection system. The Internet of Things can be used to accomplish these tasks. As an illustration, it should be quite helpful in libraries to keep quiet for extended periods of time. This system's ability to lessen noise pollution is another benefit. The functions of this application have been programmed using Python libraries and the Flask programming language. A device known as a Raspberry pi can be used to implement this application. In the workplace, classroom, and library, the recommended noise detector system can be used to identify noisy individuals so that appropriate action can be taken against them.
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