Abstarct: Electrical resistivity and induced polarization (IP-RS) methods are widely used in the exploration of mextallic minerals, especially copper, lead, zinc, and iron. This study was conducted in the lead-zinc exploration area of Kuh-e Domdar, Khur and Biabanak County. Electrical resistivity and IP data were collected from the study area, then modeled and interpreted to identify zones with potential lead and zinc mineralization. A total of 11 profiles with a 10-meter electrode spacing and one profile with a 20-meter spacing were surveyed. Analysis of the profiles showed that resistivity and chargeability anomalies can help distinguish lead and zinc mineralization. Significant surface, lateral, and deep anomalies were detected in profiles P1 to P11, some of which corresponded to surface observations and existing data from mining tunnels. For instance, profile P1 revealed a high chargeability and relatively high resistivity anomaly between 70 and 160 meters, matching the mine’s ore face. In profiles P3 and P4, deep anomalies were observed down to 90 meters, confirming the need for exploratory drilling. Data processing and modeling were performed using RES2DINV software, producing two-dimensional subsurface resistivity and chargeability sections. These models allowed quantitative analysis, identification of ore bodies, and differentiation from graphite. Furthermore, recent advances in joint inversion of IP and resistivity data have improved the accuracy of subsurface modeling and enhanced the ability to predict mineral deposit locations. The results indicate that the Kuh-e Domdar area has high potential for lead and zinc mineralization. baxsed on the processed data, resistivity and chargeability sections were interpreted for each profile, mineralized zones were identified, and drilling targets were proposed to confirm the presence of mineralization.