This project aims to develop a predictive air quality monitoring system for Jakarta, using multiple ESP32 devices to collect real-time air quality data. The data will train a SARIMA AI model to forecast air quality on various time scales, providing valuable predictions to help authorities and citizens manage outdoor safety.