AI-Driven Ferry Booking and Assistance System for Smart and Inclusive Railway Services

This paper presents an AI-based system designed to automate and optimize luggage ferry and passenger assistance services within railway stations, a domain that currently suffers from manual coordination, service delays, and accessibility challenges.These inefficiencies often lead to poor passenger experience, operational bottlenecks, and increased workload on station staff, particularly affecting elderly and differently-abled passengers.The proposed system monitors service requests and operational data during an initial execution phase and builds an intelligent service management profile using artificial intelligence techniques.Based on this learned behavior, the system predicts optimal driver assignments and service routes while providing real-time tracking and timely notifications to improve service delivery.The objective of this work is to enhance passenger satisfaction, improve operational efficiency, and promote inclusive railway services while maintaining system reliability and minimizing manual intervention.