The methodology presented in this section outlines a comprehensive approach to developing a deep learning-driven image captioning system for real-time monitoring and predictive control of pollutant gas concentrations. By integrating advanced machine learning techniques with robust data collection, analysis, and user interface design, the proposed system aims to enhance environmental monitoring practices and contribute to more effective management of industrial pollutant emissions. The subsequent sections will detail the results of the implementation and discuss the implications of the findings for future research and applications.