A technical assessment is always conducted prior to the installation of traffic signs at crosswalks, safety lanes, or even expanding areas. In these cases, using cameras to gather local photos and then analysing them is a valuable method. This paper describes a technique for detecting and tracking four types of vehicles: automobiles, buses, trucks, and motorcyclists, by analysing video footage of road crossings. The first findings of vehicle route accounting reveal that the technique is highly promising, with good outcomes in a number of scenarios, but much more study is needed to make these systems resistant against occlusions and other unforeseen events. Keywords: Deep Learning, Tracking, Multiple Objects Tracking, CNNs, YOLO, DeepSORT.

The mobile phone has become an integral part of modern life, with its capabilities now include data transfer and internet browsing in addition to voice communication. The purpose of this project is to create a notification system and connect it to the university's website. By connecting, it achieves a high level of efficiency in organizing interactions between the university and the students as well as teachers. by connecting the system to the educational database of the university using the latest technologies can save the efforts and time of the students. It will offer a variety of information on education, courses, and college students in general that will aid the machine in deciding to whom to send notifications. Additionally, it entails sending notifications, examination timetables, hall tickets and reviewing information such as university enrollment number and results.