IoT and ML-based AQI Estimation using Real-time Traffic Data

This dataset contains ~210,000 samples collected from 15 monitoring nodes in Hyderabad (Jan–May 2022). Each record includes traffic mobility rate, NDVI score, temperature, humidity, PM2.5, PM10, and AQI values categorized into five CPCB levels. It enables IoT and ML-based AQI prediction, multimodal learning, and urban air pollution analysis under real-time traffic conditions.