This paper explains a global issue of noise pollution and solution for it. We the students of computer engineering developed a model named as Noise detection and notifying system which will bring awareness in the human beings. The Noise Detecting and Notifying System is designed to monitor and detect environmental noise levels in real-time, providing instant alerts when noise exceeds predefined thresholds Utilizing advanced acoustic sensors and microcontroller-based systems, this system measures. ambient sound levels in various environments, such as homes, offices, or public spaces. When noise levels surpass a set limit, the system triggers a notification, which can be sent via mobile application, SMS, or sound alarms, depending on user preferences. The system aims to enhance the quality of life by promoting noise awareness and enabling timely interventions to reduce noise pollution, improve productivity, and ensure regulatory compliance in noisesensitive areas. It can be further integrated with IoT devices for remote monitoring and data analysis, helping authorities or individuals take corrective actions effectively.

A Noise Detecting and Notifying System plays a crucial role in managing and mitigating the impact of noise in various environments, whether residential, industrial, or urban. By continuously monitoring noise levels and sending real-time alerts when thresholds are exceeded, the system provides immediate feedback, enabling prompt responses to reduce disturbances and prevent noise-related issues. This system enhances quality of life by ensuring quieter, more comfortable spaces, especially in residential areas where noise pollution can significantly impact well-being. In industrial and commercial settings, it contributes to operational efficiency, detecting machine malfunctions early and assisting in predictive maintenance to avoid costly downtime. Additionally, it aids in regulatory compliance by ensuring noise levels remain within acceptable limits, thus avoiding potential legal issues.

General IoT Frameworks: Vanitha, Sridhar, and Dhivakar’s work on “Automation of Noise Detection Using Internet of Things” (2021) is frequently cited for establishing basic automated workflows. Real-Time Monitoring: Marques and Pitarma (2020) detail “A Real-Time Noise Monitoring System Based on Internet of Things for Enhanced Acoustic Comfort and Occupational Health”, emphasizing the link between noise levels and occupant health Smart City Applications: Badruddin et al. (2020) introduced the NOMOS system, a specialized IoT model for urban noise monitoring.  Books & Articles “Practical Electronics for Inventors” by Paul Scherz (explains basic circuits and sensors). “Machine Learning for Audio, Speech, and Language Processing” (for learning about audio classification models). Online Resources: Hackster.io: For project ideas and tutorials on sound detection systems. Instructables: Step-by-step guides on building sound detection systems using various microcontrollers.

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