Abstract

This research investigates the implementation of an IoT-based air pollution monitoring system, leveraging low-cost microcontroller platforms and sensor networks for real-time air quality analysis. The system enables remote data access via mobile devices and cloud servers, facilitating better environmental awareness and empowering individuals to assess pollution levels in their surroundings. The study underscores the potential of affordable, scalable solutions in enhancing public understanding of air quality dynamics.