The design and analysis of a Neuro-Fuzzy controller, based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) architecture, were conducted to regulate frequency and power deviations in interconnected areas. Imbalances between supply and demand result in deviations from the nominal frequency, necessitating a rapid and precise controller. The ANFIS-based controller, offering a straightforward structure, continuously monitors operating conditions and adjusts settings optimally. By replacing traditional Proportional-Integral (PI) and Fuzzy Logic (FL) controllers, the ANFIS controller demonstrates improved performance in handling non-linearities. Simulation results indicate effective damping of frequency deviations, achieving steady-state values with settling times reduced from 44 to 10 seconds. Additionally, overshoot is minimized from 0.050 pu to 0.020 pu, and tie line power fluctuations are significantly lowered. These findings highlight the ANFIS-based Neuro-Fuzzy controller's ability to maintain system stability and reliability