An Early Warning System for Air Pollution Surveillance: An IoT Based Big Data Framework to Monitor Risks Associated with Air Pollution

Air pollution is a major public health issue that can have far-reaching consequences for human health. Accurately quantifying its impact and effects can be a challenging task. However, with the advent of the Internet of Things (IoT) and big data technologies, real-time monitoring of air pollution levels is now possible, enabling prompt and data-driven measures to mitigate its negative effects. This paper proposes the development of an agnostic ecosystem that collects big data from various sensors and analyzes and predicts harm using state-of-the-art AI and deep learning techniques. The ecosystem can provide public health officials and researchers with the necessary tools to monitor air pollution levels and design effective policies to lessen the harmful effects of air pollution on human health.