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.

Dettagli Bibliografici
Autori principali:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Altri autori:	Rahman, Md. Khalilur
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	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
Accesso online:	http://hdl.handle.net/10361/22880

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