Customer service bot for a travel agency using natural language processing
| bracu.type.group | Student Works | |
| dc.contributor.advisor | Rasel, Annajiat Alim | |
| dc.contributor.advisor | Karim, Dewan Ziaul | |
| dc.contributor.author | Paromita, Purobi | |
| dc.contributor.author | Tabassum, Tanisha | |
| dc.contributor.author | Das, Puspita | |
| dc.contributor.author | Fihad, Nobiul Islam | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2024-10-30T10:29:16Z | |
| dc.date.available | 2024-10-30T10:29:16Z | |
| dc.date.available | ©2024 | |
| dc.date.issued | 2024-06 | |
| dc.description | Catalogued from PDF version of thesis. | |
| dc.description | Includes bibliographical references (pages 33-37). | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. | en_US |
| dc.description.abstract | Traveling isn’t new in the human race. Modern humans began migrating from Africa 70,000 to 50,000 years earlier. Again, modern tourism started in the 17th century in Western Europe and till today, humans didn’t stop and continued traveling around the world in order to explore, discover the unseen, to experience incredible sites and tourist spots. As human civilization is getting digitized rapidly, technology has reached every corner of the world, including the whole travel procedure. In order to make the travel experience easier and more pleasant, we have come up with a customer service bot with the help of Natural Language Processing(NLP), which can be beneficial for both travel agencies and customers in terms of their communication procedures. We aim to decrease manual functions and make communication procedures more technology dependent, and increase the chatbot’s ability to answer more questions that a customer would like to know before planning a tour. In a nutshell, our purpose is to make the traveling process easier, more comfortable, and handier by generating a digital program with the help of Natural Language Processing. | en_US |
| dc.description.degree | Bachelor of Science in Computer Science | |
| dc.description.statementofresponsibility | Purobi Paromita | |
| dc.description.statementofresponsibility | Tanisha Tabassum | |
| dc.description.statementofresponsibility | Puspita Das | |
| dc.description.statementofresponsibility | Nobiul Islam Fihad | |
| dc.format.extent | 37 pages | |
| dc.identifier.other | ID 20301214 | |
| dc.identifier.other | ID 20101577 | |
| dc.identifier.other | ID 20301246 | |
| dc.identifier.other | ID 19301064 | |
| dc.identifier.uri | http://hdl.handle.net/10361/24501 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Natural language processing | en_US |
| dc.subject | Customer chatbot | en_US |
| dc.subject | Graphic interface unit | en_US |
| dc.subject | Tokenization | en_US |
| dc.subject | Intent recognition | en_US |
| dc.subject.lcsh | Artificial intelligence. | |
| dc.subject.lcsh | Natural language processing (Computer science). | |
| dc.subject.lcsh | Computational linguistics. | |
| dc.title | Customer service bot for a travel agency using natural language processing | en_US |
| dc.type | Thesis | en_US |