A Rule-Based Chatbot for Online Ticket Booking: A Menu-Driven System for Museums, Monuments, and Wildlife Parks

Using a structured rule-based conversational in-terface, the proposed chatbot-based ticket booking system for monuments, wildlife parks, and museums seeks to digitize and streamline the reservation process. This system uses a fixed input–output and menu-driven model, which ensures predictable and dependable interactions, in contrast to AI-driven solutions that rely on machine learning and natural language processing. While the backend maintains ticket records, verifies availability, and safely stores booking data, the chatbot walks users through predetermined steps like choosing a location, confirming reser-vations, selecting a date and ticket categories, and checking availability. According to performance evaluation, the system offers a scalable, affordable, and easily maintained alternative that is appropriate for government-run cultural and tourism organizations while minimizing manual labor and booking time while preserving high accuracy and dependability.