Development of a smart tourism information chatbot for Mauritius
Chiong, Patrick Steven Siaw Chock, Seeam, Preetila and Seeam, Amar 
ORCID: https://orcid.org/0000-0001-8203-1545
(2022)
Development of a smart tourism information chatbot for Mauritius.
2022 International Conference on Intelligent and Innovative Computing Applications.
In: ICONIC 2022: International Conference on Intelligent and Innovative Computing Applications, 08-09 Dec 2022, Mauritius.
ISBN 9789994908882.
ISSN 1694-4607
[Conference or Workshop Item]
(doi:10.59200/ICONIC.2022.013)
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Abstract
Due to the current COVID-19 situation worldwide, the tourism industry has been heavily impacted worldwide. Chatbots help to minimise the spread of the virus, by limiting physical interaction, whilst help to promote the industry and make available tourism information in an accessible familiar manner. This paper aims to analyse the various aspects of the tourism industry and identify the gaps that need to be addressed in order to improve the customer experiences in Mauritius. The aim was deploy a tourism information chatbot that will provide the necessary information and recommendations to tourists coming to Mauritius and attract potential tourists plan their next trip in a few steps, using off-the-shelf technologies. The main advantage of the developed Chatbot is that is built on off the shelf technologies (Rasa, Telegram, etc), but with the ability to be further extended with APIs. Thus the chatbot developed exhibits a number of innovations for a Tourism chatbot, such as Google search, weather acquisition based on location and COVID-19 statistics.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Sustainable Development Goals: | |
| Theme: | |
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 36907 |
| Notes on copyright: | The published paper is reproduced with permission of the conference Mauricon ICONIC 2022 |
| Depositing User: | Amar Kumar Seeam |
| Date Deposited: | 08 Dec 2022 09:24 |
| Last Modified: | 12 May 2023 12:34 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/36907 |
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