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

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.

Dades bibliogràfiques
Autors principals:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Altres autors:	Rahman, Md. Khalilur
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	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
Accés en línia:	http://hdl.handle.net/10361/22880

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