Driving at night presents a myriad of challenges, with one of the most significant being visibility, especially on curved roads. Despite the fact that only a quarter of driving occurs at night, research indicates that over half of driving accidents happen during this period. This alarming statistic underscores the urgent need for improved illumination solutions, particularly on curved roads, to enhance driver visibility and consequently, safety. Conventional headlamp systems, while effective in many scenarios, often fall short in adequately illuminating curved roads, thereby exacerbating the risk of accidents during nighttime driving. In response to this critical issue, considerable efforts have been directed towards the development of alternative technologies, chief among them being Adaptive Front Lighting Systems (AFS). The primary objective of this endeavor is to design and construct a prototype AFS that can seamlessly integrate into existing fixed headlamp systems. Throughout the conceptualization phase, key considerations revolve around prioritizing accuracy, reliability, and component availability to ensure the feasibility and effectiveness of the proposed solution. AFS represents a groundbreaking innovation in automotive lighting technology, aimed at addressing the shortcomings of conventional headlamp systems, particularly in illuminating curved roads. Unlike static headlamps, which emit a fixed beam pattern regardless of driving conditions, AFS adjusts headlamp intensity based on various factors such as vehicle speed, steering angle, and road curvature. By leveraging sensors and sophisticated control algorithms, AFS is able to anticipate the direction of travel and adjust the direction and intensity of the headlamp beam accordingly. This adaptive functionality not only enhances driver visibility on curved roads but also reduces the likelihood of accidents caused by limited visibility in challenging driving conditions. The conceptualization and design phase of the AFS prototype involve a meticulous process aimed at ensuring the feasibility and effectiveness of the proposed solution. Key considerations include the selection of suitable components, the development of robust control algorithms, and the integration of advanced technologies such as Arduino microcontrollers. One of the primary challenges in designing an AFS prototype lies in balancing performance with cost-effectiveness.