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 | AI using Air Quality Prediction with AQI |
|---|---|
| ABSTRACT | Rising air pollution has highlighted the urgent need for smart monitoring systems that can operate continuously and respond proactively, particularly in indoor settings. This study proposes an AI-driven IoT-based air quality monitoring and prediction system that combines real-time data acquisition, predictive intelligence, and automated environmental control. The proposed solution utilizes an ESP8266 NodeMCU interfaced with MQ-series gas sensors and a DHT sensor to measure air quality, temperature, and humidity parameters, which are transmitted wirelessly to an interactive web dashboard for live visualization and alert generation. To anticipate future pollution levels, a Linear Regression–based machine learning model is applied to historical sensor data, enabling early detection of deteriorating air conditions. Based on both current and predicted values, a relay-controlled ventilation mechanism operates in automatic as well as manual modes to maintain a safe indoor atmosphere. Experimental results confirm stable sensor operation, rapid system responsiveness, and satisfactory prediction accuracy, demonstrating the effectiveness of the proposed system in improving indoor environmental safety through intelligent monitoring and automation. |
| AUTHOR | RASHMI S P, INCHARA K M, KEERTHANA B M, VEDASHRI M S, HARSHITHA A U Department of Computer Science and Engineering, Jain Institute of Technology, Davangere, India UG Students, Department of Computer Science and Engineering, Jain Institute of Technology, Davangere, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312145 |
| pdf/145_AI using Air Quality Prediction with AQI.pdf | |
| KEYWORDS | |
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