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 |