Groundwater is under extreme strain due to global urbanization and population growth. In addition to impeding rainwater's ability to seep beneath the surface of the earth, it has incited overuse of groundwater. In the semi-arid regions dominated by hard rock, the issue of water scarcity and a significant decrease in groundwater height were caused by the unpredictability of rainfall and excessive use of groundwater. The aim of the current study is to detect the GWPZ (Groundwater Potential Zone) in the hard-rock terrain-controlled southwestern Hyderabad city of Telangana with GIS data and remote sensing in line with the knowledge-driven statistical method of the AHP (Analytical Hierarchy Process). Ten groundwater controlling factors— curvature, lineament density, TWI (Topographical Wetness Index), soil, rainfall, Drainage Density (DD), LULC (Land Use Land Cover), slope, geomorphology, and geology were compiled to create the GWPZ map. LULC map is prepared using Support Vector Machine(SVM) algorithm and Sentinel data in Google Earth Engine Platform. The overall accuracy and kappa coefficient of LULC map are 89.6% and 0.86 respectively. The analysis revealed that there are only moderate and good GWPZ, accounting for 63% and 37% of the study area, respectively. The findings are evaluated using the ROC (Receiver Operation Characteristics) and AUC (Area Under Curve) techniques with groundwater level data, and this value (0.721) also demonstrated the dependability of the study. The study's conclusions can help planners, engineers, and legislators make informed decisions about how best to use, assess, and manage groundwater in this region to ensure sustainable development.