Discover the recent research within the Sustainable Development and Technologies project, where we conducted a multi-step modeling approach integrating unsupervised and deep learning algorithms to improve the interpretation of geophysical well-logging data for a more thorough characterization of the Quaternary aquifer system in the Debrecen area, Hungary. This approach facilitated the mapping of lithofacies and variations in hydraulic conductivity across the primary hydrostratigraphical units. Through this integration, we enhanced the understanding of the groundwater system, providing reliable inputs for groundwater modeling in a cost-effective and time-efficient manner.