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Identify birds and optimize wildlife tourism experience using predictive analytics

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dc.contributor.author Nawarathna, Janaka Prasad
dc.date.accessioned 2022-02-25T09:09:27Z
dc.date.available 2022-02-25T09:09:27Z
dc.date.issued 2021
dc.identifier.citation Nawarathna, Janaka Prasad (2021) Identify birds and optimize wildlife tourism experience using predictive analytics. MSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.issn 2018271
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/772
dc.description.abstract The focus of this research study is to implement a project called identifying and optimizing wildlife tourism using predictive analytics. At present, there is no accurate method to specify how an animal in the wild is to be tracked and reported to tourists and to others who are interested in wildlife. The concept of the study is to optimize and improve the wildlife related knowledge using the experiences of local travelers and foreign tourists. A mobile app will be used to collect data on wildlife, which are reported by tourists, and the analyzed data will be displayed on a dashboard. This will facilitate the efforts taken by tourists to increase the productivity of wildlife tourism by providing accurate data to tourists. This report shows the research and development phases carried out during the project period en_US
dc.language.iso en en_US
dc.subject Tourism en_US
dc.subject Wild life en_US
dc.subject Birds en_US
dc.subject predictive analytics en_US
dc.title Identify birds and optimize wildlife tourism experience using predictive analytics en_US
dc.type Thesis en_US


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