The increasing integration of renewable energy sources into the power grid demands an efficient monitoring and control system to ensure stability and reliability. Traditional grid systems lack real-time data acquisition and predictive maintenance, leading to inefficiencies and power losses. This project addresses these challenges by implementing an IoT-based smart grid monitoring system that enables real-time monitoring, optimal power management, and seamless integration of renewable energy with the grid. This project proposes an IoT-Based Smart Grid Monitoring System that integrates a photovoltaic (PV) system, a three-phase AC source, and a battery energy storage system (BESS) for efficient power management. The system employs DC-DC boost and bidirectional buck-boost converters to regulate power flow, while a three-phase voltage source inverter (VSI) converts DC power into AC for grid integration. Proportional-Integral (PI) controllers ensure voltage and current stability by generating reference signals for precise power control. The system is implemented using a dSPIC30F4011 microcontroller, which generates PWM pulses to drive switching circuits. To enhance monitoring and control capabilities, an IoT-based architecture is integrated using a NodeMCU Wi-Fi module. Real-time parameters such as PV voltage, PV current, battery state of charge, battery voltage, grid voltage, and grid current are transmitted to a remote monitoring platform. This enables predictive maintenance, fault detection, and optimal energy management. The proposed system ensures smooth power exchange between renewable sources, storage systems, and the grid, improving efficiency and reliability. The IoT framework facilitates data-driven decision-making, making the smart grid more resilient and adaptive. This work demonstrates a scalable and cost-effective solution for modern energy management, paving the way for future smart grid applications