The methodology for the proposed deep learning-driven image captioning system for real-time monitoring and predictive control of pollutant gas concentrations consists of several key components: data collection, system architecture, training processes, and the implementation of the predictive control module. Each of these components plays a crucial role in ensuring the effectiveness and accuracy of the system.