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The development of AI chatbot for Kampar tourism mobile application

Ngui, Miew Yiong (2020) The development of AI chatbot for Kampar tourism mobile application. Final Year Project, UTAR.

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    Nowadays, a lot of useful and important data wasted in tourism sector throughout years all around the world. Although people understand the importance of data in the tourism industry, there is still lack of technology and methods for collecting those important tourist data, thus caused a lot of economic losses all around the world. AI Chatbot is a computer program developed by human that act like a real human being which can communicate with user. In other word, AI Chatbot can be said as a conversation agent that can communicate with user by using natural language. As technology advanced, AI Chatbot become more and more popular in many areas such as e-commerce, online banking, online shopping and etc. Although there are AI Chatbot used in travel guide system, it is still not enough functions to satisfy tourist. KamparBot is an AI Chatbot, which is also a part of features of GoKampar travel guide Application. It allows users to find and search for café, restaurant, hotel and attractions when travelling in Kampar. Not only that, compare with traditional travel guide applications, KamparBot provide more convenience features for users to use the GoKampar travel guide Application. Some strengths and weaknesses of existing Travel Guide Application will be discussed in this report. Methodology and technologies used to improve the performance of AI Chatbot of GoKampar travel guide application will also be discussed in this report. Finally, some testing result will be shown in this report.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: Q Science > Q Science (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
    Depositing User: ML Main Library
    Date Deposited: 07 Jan 2021 21:24
    Last Modified: 07 Jan 2021 21:24
    URI: http://eprints.utar.edu.my/id/eprint/3956

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