The implementation of the deep learning-driven image captioning system for real-time monitoring and predictive control of pollutant gas concentrations yielded promising results across several evaluation metrics. The performance of the system was assessed based on the quality of the generated captions, the accuracy of the predictive control module, and the overall effectiveness of the system in enhancing environmental monitoring practices.