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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44454
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A web-based chatbot system specifically designed for bus transport services, aimed at assisting passengers with real-time travel-related information. The system leverages Natural Language Processing (NLP) to understand and process user queries, enabling it to provide accurate responses regarding bus schedules, routes, and fare details. To ensure accessibility and ease of use, the chatbot includes a voice interaction feature that allows users to communicate through spoken commands, making it especially helpful for individuals with visual or literacy limitations. A unique feature of this chatbot is its built-in emergency assistance functionality. The chatbot’s intelligence is powered by a Convolutional Neural Network (CNN) model trained on transportation-specific datasets, ensuring precise interpretation of user input. By combining intelligent response generation, multi-modal communication, and emergency support, the system not only reduces the dependency on manual information desks but also promotes a smarter, safer, and more user-friendly public transportation experience.
KEYWORDS
Publication Date
4/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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