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.

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, MD. Abir, Alamgir, Adnan, Chowdhury, Shaheedul Haque, Mushtari, Maliha, Anzum, Wasim
Beste egile batzuk:	Rahman, Md. Khalilur
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	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
Sarrera elektronikoa:	http://hdl.handle.net/10361/22880

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

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