• P.Edwin Dhas
• P.Aiswarya
• D.Gopi selvi
• J.Joice britto
• P.Usha

The Railway Chatbot is an intelligent by providing real-time information and services related to train schedules, ticket bookings, PNR status, and more. This chatbot leverages advanced Natural Language Processing (NLP) techniques, specifically BiLSTM (Bidirectional Long Short-Term Memory), to understand and process user queries in a highly efficient and context-sensitive manner. By using NLP techniques such as tokenization, part-of-speech tagging, and named entity recognition (NER), the chatbot can extract key information from user input and offer relevant, accurate responses. The BiLSTM model is trained on a large dataset of historical train-related queries and responses, enabling it to learn the nuances of passenger queries and improve over time.

Railway Chatbot, Natural Language Processing (NLP), Bidirectional Long Short-Term Memory (BiLSTM), Named Entity Recognition (NER), Tokenization, Passenger Assistance System, Train Schedule Information, Real-time Query Processing, Deep Learning, Context-sensitive Response.

"Online chatbot based ticketing system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.f303-f307, May-2025, Available :http://www.jetir.org/papers/JETIR2505633.pdf

"Online chatbot based ticketing system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppf303-f307, May-2025, Available at : http://www.jetir.org/papers/JETIR2505633.pdf