Air Quality Index And Environment Monitoring

Air pollution remains a pressing global issue, necessitating efficient and scalable monitoring solutions beyond traditional sensor-based systems. This paper introduces a novel method for Air Quality Index (AQI) assessment by leveraging image-based analysis with MobileNetV2, a lightweight convolutional neural network (CNN). The approach utilizes environmental images—such as sky photographs—sourced alongside numerical AQI data from publicly available datasets on Kaggle, including the