At present, the automobile industry is experiencing substantial transformations in the areas of in-vehicle communication and information technologies. This transition is significantly affected by the advancement of advanced driver assistance systems. Nevertheless, this development poses a risk to both vehicles and pedestrians by introducing the potential for information overload. Driver Assistance Systems are critical to guaranteeing vehicle safety in today's world, and they are likely to become even more significant in the future as autonomous vehicles become more common. This technical paper discusses various technologies that can improve the functionality of the Driver Assistance System. These technologies include methods for detecting driver fatigue, precisely defining lanes, tracking vehicles in real time, and correctly recognizing traffic signs. The components were easily merged and synchronized into a web-based platform using the Django framework, resulting in a user-friendly interface. Combining Hyper Text Markup Language and Graphical User Interface components together makes things much easier to access and use. The article also suggests a loT of different ways that the model could be improved in the future. These possible improvements could make it easier and more flexible to make sure the safety and comfort of both pedestrians and cars. The addition of driver-focused technologies to the constantly changing field of Driver Assistance Systems is a big step towards safer and more efficient transportation options.