The performance of the low-speed operation of induction motor (IM) drives has been discovered to be degrading and the performance of indirect field-oriented control (IFOC)-based IM drives depends on the efficiency of the inner loop Stator Current Regulator (SCR). Therefore, this research proposed the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS) SCR to enhance the performance and optimize the operations of IFOC-based IM drives. It also compared the controller with PI SCR to analyze and evaluate the differences in how they perform. The results showed PI and ANFIS produced the same dynamic speed response trend and the use of ANFIS was able to reduce integral absolute error (IAE) up to 0.481% and phase current consumption from 2.78A - 6.32A both in peak and RMS value. Furthermore, there was a 29.29% - 45.58% reduction in the phase current total harmonic distortion (THD). This means the application of ANFIS SCR on IFOC-based IM drives enhanced the performance in the current constraint for high-performance purposes and low-speed applications.