To address environmental issues and energy sustainability, Brunei is actively adopting renewable energy options, similar to many other countries. Solar energy has emerged as one of the most promising renewable energy sources for the nation’s initiatives. This research work aims to develop a prototype that will enhance the usability of solar photovoltaic (PV) systems. The goal is to create a functional model of an Internet of Things (IoT)-integrated, single-axis automatic sun-tracking solar PV system. The system uses a servo motor, two light-dependent resistors (LDRs), and an Arduino-based solar tracking device to achieve precise alignment of the PV panel with the sun's movement. Real-time voltage, current, and temperature data collection and analysis are enabled through an IoT-based monitoring system, which includes components such as the ESP32, ACS712 current sensor, voltage sensor, and an LM35 temperature sensor to provide environmental data for analysis. By addressing current limitations of solar energy systems, this project aims to improve user-friendliness and data-driven monitoring. These advancements will contribute to reducing energy costs, promoting wider solar energy adoption, and meeting Brunei's growing demand for sustainable energy sources.