Development of Iot Enabled Air Pollution Detector Using Machine Learning Techniques

Air pollution detectors are essential tools for understanding, mitigating, and controlling the air pollution, human health, and climate. Despite significant technological advances, developing fully reliable and widely applicable air pollution detectors remains a challenge. This study intends to develop a smart IOT device that will calculate the AQI value and by using machine learning approach, the proposed model can predict future outcomes. The experimental results of the proposed system are highly accurate in predicting the future outcomes when compared to other existing models.