Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2023
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| Online dostop: | http://hdl.handle.net/10361/19975 |
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10361-19975 |
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10361-199752023-08-28T06:23:12Z Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples Zahir, Shafkat Roy, Prateeti Saha Ridita, Humaira Tasnim Hossain, Tamanna Rahman, Dr. Md. Khalilur Department of Computer Science and Engineering, Brac University Chatbots Conversational agents Artificial intelligence models Transformer RASA model Accuracy Chatbot development Accessibility Learning Conceptualization Machine learning. Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-33). With the dynamic advancement of internet services over the past decade, chatbots, also recognized as conversational agents, have risen to prominence. They are signif icantly acclimated to develop a useful digital expert that can succumb to questions and provide comprehensive answers. The chatbots were designed to enhance com munity interaction in which they comprehend user inputs, get pertinent information depending on the inputs, and reply using a unified framework. Going to college or university to get necessary academic and supporting information like tuition fees and term schedules can be a hassle for students. It can take a lot of time and effort, espe cially if they have to visit multiple schools or departments. It can also be frustrating if they have to wait in line or if the information they need is not readily available. Additionally, the process of getting this information requires staff to be available to provide it, which can be costly and time-consuming for the school. So to address this problem, in this study, we ideate and attempt to implement our conceptualization to generate something that is interactive, easily accessible, and able to learn from its interactions with students. There have been many chatbot developments using various artificial intelligence models, but there are still many limitations in their functionality. After conducting extensive research, we have identified two classified models - Transformer and RASA model - to compare and evaluate their accuracy in order to build a more effective conversational artificial intelligence. We hope to gain a better understanding of their strengths and weaknesses by comparing these two models and determining which model is more suitable for chatbot development. This data will help to improve the overall performance and functioning of chatbots. Shafkat Zahir Prateeti Saha Roy Humaira Tasnim Ridita Tamanna Hossain B. Computer Science 2023-08-27T09:02:41Z 2023-08-27T09:02:41Z 2023 2023-01 Thesis ID: 21101109 ID: 19141007 ID: 19141003 ID: 19101347 http://hdl.handle.net/10361/19975 en 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. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Chatbots Conversational agents Artificial intelligence models Transformer RASA model Accuracy Chatbot development Accessibility Learning Conceptualization Machine learning. Artificial intelligence |
| spellingShingle |
Chatbots Conversational agents Artificial intelligence models Transformer RASA model Accuracy Chatbot development Accessibility Learning Conceptualization Machine learning. Artificial intelligence Zahir, Shafkat Roy, Prateeti Saha Ridita, Humaira Tasnim Hossain, Tamanna Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Rahman, Dr. Md. Khalilur |
| author_facet |
Rahman, Dr. Md. Khalilur Zahir, Shafkat Roy, Prateeti Saha Ridita, Humaira Tasnim Hossain, Tamanna |
| format |
Thesis |
| author |
Zahir, Shafkat Roy, Prateeti Saha Ridita, Humaira Tasnim Hossain, Tamanna |
| author_sort |
Zahir, Shafkat |
| title |
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| title_short |
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| title_full |
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| title_fullStr |
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| title_full_unstemmed |
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples |
| title_sort |
transformer vs. rasa model: a thorough attempt to develop conversational artificial intelligence to provide automated services to university disciples |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/19975 |
| work_keys_str_mv |
AT zahirshafkat transformervsrasamodelathoroughattempttodevelopconversationalartificialintelligencetoprovideautomatedservicestouniversitydisciples AT royprateetisaha transformervsrasamodelathoroughattempttodevelopconversationalartificialintelligencetoprovideautomatedservicestouniversitydisciples AT riditahumairatasnim transformervsrasamodelathoroughattempttodevelopconversationalartificialintelligencetoprovideautomatedservicestouniversitydisciples AT hossaintamanna transformervsrasamodelathoroughattempttodevelopconversationalartificialintelligencetoprovideautomatedservicestouniversitydisciples |
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