This document presents a study on using an Adaptive Neural Fuzzy Interference System (ANFIS) algorithm for maximum power point tracking (MPPT) in a hybrid renewable energy system combining solar and wind power. The ANFIS MPPT controller aims to overcome limitations of traditional fuzzy logic controllers in rapidly locating the global maximum power point under changing conditions. A simulation model of the proposed ANFIS controlled hybrid system is developed, showing it can maximize total output power while minimizing oscillations and tracking time. Hardware results demonstrate the system effectively supplies continuous power from integrated solar and wind sources.