A Neural Network based Fault Tolerant System for Cascaded Multilevel Inverters implemented in MATLAB provides a robust solution for managing faults in power electronic systems. This system utilizes neural network algorithms to detect and mitigate faults occurring in cascaded multilevel inverters, ensuring reliable operation even in the presence of failures. By employing advanced fault detection and correction mechanisms, the system enhances the resilience and performance of multilevel inverter-based power systems, contributing to improved operational efficiency and reliability in various applications such as renewable energy systems, motor drives, and grid-connected systems.