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By: Mahesh Bhakare, Sujal Shelke, Sahil Kharat, Prathamesh Garsule, and Ashwini Pawale.
1Student, Department of Information Technology JSPM’s Bhivarabai Sawant Institute of Technology and Research, Wagholi Pune, India
2Professor, Department of Information Technology JSPM’s Bhivarabai Sawant Institute of Technology and Research, Wagholi Pune, India
Air and noise pollution have become serious environmental problems in modern urban areas due to rapid industrialization, increasing traffic, and population growth. Continuous monitoring of pollution levels is important to protect public health and maintain environmental safety. Traditional pollution monitoring systems are expensive and limited in coverage, which makes real- time monitoring difficult in many locations. To address this issue, this project proposes a low-cost Internet of Things (IoT) based air and noise pollution monitoring system using the ESP32-S3 microcontroller. The proposed system uses the MQ-135 gas sensor to detect harmful gases in the air and a sound sensor to measure environmental noise levels. The ESP32-S3 microcontroller collects sensor data, processes it, and calculates pollution levels. When pollution exceeds predefined safety limits, the system activates a buzzer to provide an immediate alert. The collected data is transmitted to a cloud platform using Wi-Fi connectivity and stored in a Firebase database for real-time monitoring and historical analysis. A mobile application developed using Flutter allows users to view real-time air quality and noise levels remotely. The system provides a cost-effective, scalable, and efficient solution for environmental monitoring. The proposed system can support smart city applications by enabling continuous pollution monitoring and increasing public awareness about environmental conditions.
Citation:
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