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Published Paper Details:
Paper Title
Intelligent Online Chatbot System for Railway Ticketing: Enhancing Efficiency and User Experience
Authors
Aishwarya S, Dr Prema Arokia Mary G, Gowthami K, Anusha CN
Keywords
Cloud computing , Load Managing, Round-robin , Hardware-based load managing, Software-based Load Managing .
Abstract
The Indian railway system is one of the largest in the world. However, it faces challenges in updating information about train locations, delays, ticket availability, and platform information. This project aims to improve passenger services using advanced technologies. The system integrates AI-driven chatbots, cloud services (like AWS and Google Cloud), and IoT hardware (ESP32) to provide real-time information. Travelers can get answers from a chatbot or use a web application for a comprehensive view of train and booking information. The project addresses issues like lack of real-time information, disconnected ticketing systems, administrative hurdles, and limited automated support. Enhancing this system will increase efficiency and passenger satisfaction. Key benefits include real-time updates, a unified platform, increased efficiency, scalability, and a user-friendly interface. By using advanced technologies, the overall experience of railway passengers in India will improve.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501689
Paper ID - 276303
Page Number(s) - g1-g7
Pubished in - Volume 13 | Issue 1 | January 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aishwarya S, Dr Prema Arokia Mary G, Gowthami K, Anusha CN, "Intelligent Online Chatbot System for Railway Ticketing: Enhancing Efficiency and User Experience", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.g1-g7, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501689.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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