Online Chatbot Based Ticketing System

Abstract

This research introduces a smart Museum Ticket Booking System powered by AI, aimed at simplifying the ticket reservation process and improving public access to cultural spaces. At the heart of the system is an intelligent chatbot that guides users through booking, ensuring a smooth and interactive experience. It also features secure payment handling that supports various payment methods, generates digital tickets with QR codes automatically, and offers a user-friendly, responsive web interface. Built using the Flask framework on the backend and SQLite for managing bookings, the system uses Bootstrap to provide a modern and adaptive frontend design. Its functionality is driven by a state-based chatbot flow, integrated with automated ticketing and secure transactions. Visitors can explore museum options, book tickets with the help of AI, and instantly receive digital passes—all through a clean and accessible platform. This project highlights how AI can be effectively applied to improve the usability and efficiency of traditional ticketing systems in the cultural sector

Introduction

1. Overview

The Museum Ticket Booking System is a modern, AI-powered web application designed to improve accessibility to cultural heritage through a seamless digital booking experience. By integrating artificial intelligence, responsive web design, and secure digital transactions, the system addresses traditional inefficiencies like manual processing, long queues, and limited access.

2. Key Features & Innovations

• AI Chatbot Assistance: Guides users through ticket booking using conversational interactions. Offers real-time, personalized help, enhancing user engagement.

• Secure, Multi-Option Payments: Supports UPI, credit/debit cards, and digital wallets with real-time validation and confirmation.

• Digital Ticketing via QR Codes: Eco-friendly and efficient digital verification system, reducing paper usage.

• Responsive UI: Built using Flask (backend) and Bootstrap (frontend) for smooth operation across all device types.

• Session and History Management: Stores and tracks bookings using SQLite, allowing users to revisit previous transactions.

3. Literature Survey Insights

• Traditional museum ticketing systems are inefficient and often inaccessible.

• Studies confirm that AI chatbots, multi-gateway payments, and QR-based digital tickets significantly enhance user satisfaction and operational efficiency.

• While many systems use partial digital features, few combine them into a cohesive AI-integrated solution, which this system aims to do.

4. Proposed Architecture

The system follows a four-layered architecture:

1. Web Interface Layer – Handles user interactions via Flask and Bootstrap.

2. Core Booking Layer – Manages museum selection, booking, and QR code ticket generation.

3. Data Storage Layer – Uses SQLite to store user sessions, bookings, and payment data.

4. External Services Layer – Connects to payment gateways and QR code generators.

5. Core Functional Modules

• AI Chatbot Layer: Uses NLP and state-based dialogue to assist users in booking tickets.

• Museum Information Management: Stores and updates details like timings, pricing, and availability.

• Payment System: Secure, real-time processing of multiple payment methods.

• Digital Ticket Generation: Automated QR code creation for each booking.

• Booking History: Stores and displays user booking records with search and management features.

• User Interface: Clean, mobile-friendly design with intuitive booking steps and visual cues.

• Error Handling: Ensures smooth operation with input validation, rollback, and session recovery.

• Session Management: Maintains interaction continuity throughout the booking process.

6. Results

• The system delivers a streamlined, AI-enhanced ticket booking experience.

• Includes detailed museum data (location, timing, pricing) and supports nationality-based pricing.

• Offers digital QR-coded tickets after real-time validated payment.

• Users can manage sessions, access history, and receive real-time feedback.

7. User Experience Highlights

• Landing Page: Visually engaging with a cultural theme and AI assistant introduction.

• Explore Museums: Showcases top Indian museums with browsing and detail exploration options.

• Chatbot Interface: Minimalist, clean design with intuitive chat flow for booking help.

Conclusion

The Museum Ticket Booking System highlights how thoughtful use of technology can truly enhance everyday experiences. What was once a time-consuming task—booking museum tickets—has been transformed into a quick, seamless process thanks to the integration of an AI-powered chatbot. This intelligent assistant not only guides users step by step but also makes the interaction feel natural and stress-free. By simplifying everything from selecting a museum to completing payment, the system ensures that users of all backgrounds can easily access and enjoy cultural spaces. It’s a great example of how user-friendly tech can bridge gaps, save time, and improve how we connect with public services.

References

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Copyright

Copyright © 2025 Dr. Pallavi R, Chirag , Rakesh K, Sameer Basha, Arsalan Ali Khan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.