This project proposal details the development of a mobile-based driver assistance application designed to enhance road safety and improve the driving experience. The project incorporates various technologies, including Artificial Intelligence, Image Processing, and Augmented Reality, to create a user-friendly application compatible with most mobile devices. The proposal outlines the problem description, emphasizing the importance of such applications in reducing road fatalities and minimizing driver errors. Business requirements are defined, including features like dashcam integration, distance monitoring, speed limit warnings, and augmented reality overlays. The project methodology follows the Scrum framework, ensuring efficient project management and iterative development. The prototype design is described, showcasing features such as road sign detection, speed tracking, and video recording capabilities. The proposal also includes a project schedule, resource planning, budgeting, and individual reflections, providing a comprehensive overview of the project's scope, execution, and expected outcomes. Appendices contain prototype designs, user guides, and technical details such as class and sequence diagrams. The application aims to improve vehicle and road safety, reduce accidents, and provide a user-friendly interface for drivers, making it a valuable tool for the automobile industry.