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This research presents an IoT-based air quality monitoring system that integrates various sensors for real-time pollutant tracking and automatic notifications. The system demonstrates high accuracy in monitoring air quality, utilizing cloud computing and machine learning to predict pollution levels and provide alerts when thresholds are exceeded. This innovative approach aims to enhance urban environmental management and public health awareness by enabling proactive responses to air quality changes.

Author

Lutfi agisna

Language

EN