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.

Detalhes bibliográficos
Principais autores:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Outros Autores:	Rahman, Md. Khalilur
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2024
Assuntos:	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
Acesso em linha:	http://hdl.handle.net/10361/22880

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

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