Abstract: AirQ: Intelligent Air Quality Prediction and Alerting System is designed to monitor, analyze, and predict air pollution levels using environmental data. The system collects parameters such as PM2.5, PM10, temperature, humidity, and harmful gases to evaluate air quality conditions. Machine learning techniques are applied to forecast future pollution levels and identify potential health risks. Based on predicted air quality index (AQI) values, the system generates real-time alerts to inform users about unsafe conditions. This proactive approach helps individuals and authorities take preventive measures, supports environmental awareness, and promotes public health protection through data-driven decision-making.
Keywords: Air Quality Index, Pollution Prediction, Machine Learning Models, Environmental Monitoring, Health Alert System
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DOI:
10.17148/IJARCCE.2026.15181
[1] Padma P M, K Sharath, "AirQ: Intelligent Air Quality Prediction and Alerting System," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15181
