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The rapid advancement of artificial intelligence and conversational technologies has transformed digital services, enabling innovative applications in public transportation. This project presents the design and development of an Online Chatbot-Based Ticketing System for Bus Transportation, which leverages conversational AI to modernize ticket booking, route inquiry, and schedule management. The system is built using Python and Streamlit, incorporating both text and voice interactions for improved accessibility, particularly benefiting elderly and visually impaired users. Speech recognition and text-to-speech modules enable hands-free operation, while integration with generative AI models, such as ChatGPT and Google Generative AI, allows natural language query processing and intelligent responses. A CSV-based dataset is employed to simulate bus routes and schedules, with provisions for future upgrades to real-time APIs and secure payment gateways. The system also emphasizes inclusivity through multimodal interaction, a user-friendly design, and dynamic visualization of transport data. Experimental results demonstrate that the chatbot interface can significantly reduce user effort, streamline booking processes, and enhance the overall travel experience. This study highlights the potential of AI-driven virtual assistants in building scalable, accessible, and future-ready smart transport infrastructures.