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.

Détails bibliographiques
Auteurs principaux:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Autres auteurs:	Rahman, Md. Khalilur
Format:	Thèse
Langue:	English
Publié:	Brac University 2024
Sujets:	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
Accès en ligne:	http://hdl.handle.net/10361/22880

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

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