<p>Traditional techniques for soil sampling and laboratory analysis are expensive, time-consuming, and restricted in their capacity to recover temporal and geographical variability, particularly within large areas. This scientific research aims to develop new modeling systems to predict important geotechnical data using a combination of the most popular NovoSPT software and Geographic Information systems (GIS) to speed up and reduce the cost of typical soil testing procedures. This technology makes it possible to quickly and accurately identify the specific properties of Ramadi soil, as significant reconstruction efforts are underway in the study area. In this study, examination data of Standard Penetration Test (SPT) collected from laboratory offices consisting of (149) test holes at depths of 1.5, 3, 4.5, and 6 (m) and inserted into NovoSPT software were used to identify the geotechnical properties of the soil. ArcGIS 10.8 was used to represent the geotechnical properties using the spatial analyst model to generate a digital map of different geotechnical properties at different depths for the entire study area. This study shows that integrating GIS with NovoSPT software is essential for locating and mapping geotechnical engineering features by offering inexpensive and quick data. The outcomes were displayed as a geotechnical maps of various size that precisely depicted the distribution of the geotechnical features. The integration of GIS with NovoSPT represents a fundamental innovation that goes beyond traditional point geotechnical analysis, transforming accurate SPT-N test values into spatially connected and effective risk and bearing capacity maps. The added value lies in GIS’s ability to overlay these engineering properties with other environmental layers (such as drainage and rock formations), supporting multi-criteria engineering decision-making.</p>