The paper investigates the feasibility and the effectiveness of a sunflower based heliotropic mechanism for tracking solar PV panels, aiming to optimize the efficiency of solar energy systems. Inspired by the natural heliotropism observed in sunflowers, the study explores design and the implementation of a nature-inspired solar photovoltaic panel tracking system. The research examines the potential of utilizing pulvinus, a joint-like thickening at the base of sunflowers responsible for heliotropism, to develop a sustainable and low-maintenance tracking mechanism. The study have shown a detailed analysis about the sunflower-based Solar tracking System, discussing its design principles, mechanism, and potential applications in optimizing the efficiency of solar PV systems. Additionally, the paper explores the integration of sunflower-inspired tracking mechanisms with bio-substances for realistic biotechnological design. The effectiveness and commercial viability of proposed methodology have been demonstrated by experimental results, highlighting its ability to maximize solar energy capture under various weather conditions. Furthermore, the paper addresses the energy crisis in developing nations like India and emphasizes the importance of renewable energy, particularly solar energy, in addressing this challenge. The study evaluates the effectiveness of an Arduino based Automatic sunflower solar tracking system compared to static solar panels. Through hardware and software implementation, the research demonstrates higher performance of system in terms of the fundamental quantities such as power output, voltage and current with the solar tracking system. Specifically, the results show that automatic sunflower solar tracking system produces an additional 0.72 watts of average power compared to fixed or single-axis systems. In conclusion, the research underscores the potential of sunflower-inspired solar tracking systems as a robust, sustainable, and economically viable solution for optimizing the efficiency of solar PV energy conversion. The findings contribute to advancing renewable energy technologies and offer insights into maximizing solar energy harvest for various applications, particularly in regions facing energy scarcity.