The fundamental framework of the smart solar tracking system, as described in this study, relied on the development of a mathematical algorithm to regulate the motion of the solar panel. The system is developed using fuzzy logic, which is known for its high accuracy and efficiency. An Arduino device is utilized to define all the necessary components and inputs, such as the DC motor with gear box for horizontal movement, the servo motor for vertical movement, and the temperature sensor, etc.The fuzzy logic algorithm, consisting of 524 lines of programming, incorporates comprehensive instructions, inputs, and control mechanisms to achieve precise and optimal outcomes while effectively addressing challenges such as partial shade and the malfunction of an LDR sensor. The implementation of this empirical approach in the study yielded the maximum solar radiation during the generating phase, as recorded by the SD card readings from the eight LDR sensors.