A comprehensive NLP-based voice assistant system for streamlined information retrieval in metro rail services of Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Bibliographische Detailangaben
Hauptverfasser:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Weitere Verfasser:	Rahman, Md. Khalilur
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Natural language processing Artificial intelligent markup language Metrorail Inverse document frequency Term frequency Application programming interface Closed domain question answering Natural language processing (Computer science) User interfaces (Computer systems) Computational intelligence
Online Zugang:	http://hdl.handle.net/10361/22880

http://hdl.handle.net/10361/22880

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