Current bus transportation systems predominantly rely on static schedules and predetermined routes, leading to significant inefficiencies. Delayed arrivals, uneven distribution of buses, and the inability to adapt to real-time road or traffic conditions exacerbate these inefficiencies. Passengers face prolonged waiting times, missed connections, and uncertainty, discouraging public transportation usage. These challenges also hinder transit authorities from dynamically optimizing schedules, reducing service reliability and overall operational efficiency. This paper proposes a dynamic, real-time bus tracking system leveraging GPS and IoT technologies to mitigate these issues. This paper proposes the development and implementation of a dynamic, real-time bus tracking system utilizing advancements in GPS and IoT technologies. The proposed system aims to provide accurate, real-time data on bus locations and movements, enabling transit authorities to adjust schedules dynamically and improve operational efficiency. The study outlines the system design, technological infrastructure, and implementation strategy, and evaluates its impact on key performance metrics such as schedule adherence, passenger convenience, and operational management.