International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Raspberry-Pi Based Real-Time Air Pollution Tracker |
|---|---|
| ABSTRACT | Air pollution has become a serious environmental issue that affects human health and the ecosystem. The main objective of this project is to develop a Raspberry Pi–based real-time air pollution monitoring system that can detect harmful gases present in the atmosphere. The system uses gas sensors such as MQ135, MQ7, and MQ2 to monitor pollutants like NO₂, CO₂, CO, and smoke. If the pollution level exceeds the predefined safe limit, a buzzer alert is activated to warn local users. Simultaneously, the system sends an automated SMS alert to the user's mobile device, ensuring an immediate response to hazardous conditions even when remote. This system provides a low-cost, efficient, and real-time solution for air quality monitoring, which can be useful in homes, industries, and urban environments to improve environmental safety and public health. |
| AUTHOR | D.POOJITHA, A.S.V.HARIKA, K.JYOTHSNA, P.VENKAT, P.JYOTHI U.G. Student, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India Assistant Professor, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403117 |
| pdf/117_Raspberry-Pi Based Real-Time Air Pollution Tracker.pdf | |
| KEYWORDS | |
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