AVATAR-MUSE: An Automated, Avatar-based Chatbot System for Museum Ticket Booking

The booking of museum tickets is a critical yet often cumbersome process for cultural enthusiasts, tourists, and casual visitors alike. Conventional web portals for museum reservations are frequently text-heavy, cluttered, and unintuitive, leading to poor user experience and decreased accessibility. This paper presents AVATAR-MUSE, a next-generation, automated, web based system that revolutionizes the ticket booking process by combining an intelligent conversational AI with a visually engaging, avatar-driven interface. Leveraging advanced Natural Language Processing (NLP) and deep learning models, AVATARMUSE interprets diverse user inputs, understands conversational context, and responds with relevant booking information in real-time. Unlike static booking websites, AVATAR-MUSE incorporates a human-like avatar, powered by WebGL-based rendering and motion animation, to guide users through the process in a friendly and intuitive manner. The system is tightly integrated with museum APIs to fetch live data about exhibitions, available time slots, ticket prices, and booking statuses. Additionally, it supports secure, real-time payment processing and booking confirmation, ensuring a seamless end-to end user journey. By merging voice/text input processing, secure backend architecture, and visually immersive interaction, AVATAR-MUSE redefines how users engage with cultural institutions online. This paper details the architecture, implementation, and evaluation of the system and highlights its potential to be extended across other domains such as theaters, concerts, and heritage tourism.