Intelligent Conversational Agent for Enhancement of Online Communication in Selected Universities Using Pattern Matching Algorithm

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dc.contributor.advisorHarrison Njorogeen_US
dc.contributor.authorKuria, Isaac Njoroge
dc.date.accessioned2023-01-24T12:35:20Z
dc.date.available2023-01-24T12:35:20Z
dc.date.issued2022
dc.descriptionThis Project is Submitted for the Partial Fulfillment of the Requirements for the Award of the Degree of Masters of Science in Computer Science in the School of Engineering and Technology of Kenyatta University, 2022en_US
dc.description.abstractUniversity websites and online portals are the primary means through which potential students and other stakeholders find important information about an institution. University websites are essential to these organizations’ marketing and communication efforts. In websites, a lot of information is spread across numerous amounts of web pages. Navigating through these web pages to locate relevant results, according to the user needs, can be non-resulting, time consuming and annoying at times. There is need to complement these websites with the use of an AI Chatbot (UniBot) in order to serve more efficiently. To address this problem, the research project proposes to design, develop and implement such an agent that will engage online users of universities websites and online channels efficiently and in real time. The project initially aims at performing an extensive literature survey on intelligent conversational agents and the feasibility of applying them in enhancing online communication in universities. This will guide the design development, implementation and testing. The project shall utilize an iterative - incremental methodology to aid in design and development of UniBot, using AIML (Artificial Intelligent Markup Language) Pattern matching algorithm on the Pandorabot (AIAAS) platform. This will generate high quality training data, with which, the agents Natural Language Understanding (NLU) model can be trained. This will make the agent (UniBot) capable of handling user requests efficiently at run time. The agent will be integrated to the university website by use of an API. Finally there will be a provision to train and test the agent using data which will be made available by Online Communication/ University Website department at Kenyatta University.en_US
dc.description.sponsorshipKenyatta Universityen_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/24509
dc.language.isoenen_US
dc.publisherKenyatta Universityen_US
dc.subjectIntelligent Conversational Agenten_US
dc.subjectOnline Communicationen_US
dc.subjectUniversitiesen_US
dc.subjectPattern Matching Algorithmen_US
dc.titleIntelligent Conversational Agent for Enhancement of Online Communication in Selected Universities Using Pattern Matching Algorithmen_US
dc.typeThesisen_US
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