AI-Based Real-Time College Bus Tracking and Alert System

This study presents an intelligent safety and monitoring framework designed to enhance the efficiency and reliability of student transportation systems. The proposed solution automates student identification, enables continuous vehicle location tracking, and supports real-time communication. Student boarding events are authenticated using a unique identification mechanism, allowing attendance to be recorded automatically with high accuracy. Simultaneously, the bus location is updated continuously and shared through an online platform, enabling students and institutional authorities to monitor vehicle movement via a mobile application. The system generates instant notifications in cases of missed boarding and sends confirmation alerts upon successful entry. Attendance logs and location data are securely maintained on a cloud-based platform for real-time access and monitoring. An onboard display further provides visual confirmation of boarding events, improving transparency and minimizing manual errors. Overall, the integrated system enhances student safety, strengthens stakeholder communication, and reduces dependence on manual transportation management processes.