International Research Journal of Education and Technology

The project "Mobile Application Based Passenger Facilitation System Using AI & ML" seeks to improve the transportation industry's operational effectiveness as well as the traveler experience. This system offers tourists a seamless, efficient, and customized travel experience using state-of-the-art machine learning (ML) and artificial intelligence (AI) technologies. Finding ways to modify present technologies to meet the evolving needs of modern travelers is the primary goal of the research. The program aims to enhance user engagement, optimize service delivery, and boost customer satisfaction by integrating AI and ML capabilities. The problem definition is based on enhancing passenger experience and optimizing transportation sector operations. The Methods use data analytics, predictive analysis, AI-powered virtual assistants, and personalized recommendations to achieve these objectives. Personalized services, real-time information availability, and advice catered to specific passengers are among the main results drawn from the work. The Discussion examines these results to precisely predict, satisfy, and ultimately improve the caliber of services offered to passengers. Keywords: Mobile Application, Passenger Facilitation, Artificial Intelligence, Machine Learning, Personalized Recommendations, Predictive Analysis.