International Journal of Scientific Research and Engineering Development

The AI-Driven Fleet Management System represents a significant leap forward in optimizing fleet operations by incorporating advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and cloud computing. Traditional fleet management systems have relied heavily on GPS tracking for location updates, which often lack real-time insights and predictive analytics, leading to inefficiencies and increased operational costs. This project addresses these challenges by integrating real-time vehicle tracking, driver behavior monitoring, and predictive maintenance, ensuring enhanced safety, reduced costs, and improved overall efficiency.