Development of mobile application for automatic travel itinerary planning
Travelling is becoming more attractive and popular among all age groups. It provides the opportunity to appreciate different cultures and helps us relieve the stress from daily life. However, making a satisfactory travel itinerary is one of the most complicated tasks for tourists, especially o...
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2022
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sg-ntu-dr.10356-1581972023-07-07T19:06:51Z Development of mobile application for automatic travel itinerary planning Cai, Dongshuo Ng Boon Poh School of Electrical and Electronic Engineering EBPNG@ntu.edu.sg Engineering::Computer science and engineering Travelling is becoming more attractive and popular among all age groups. It provides the opportunity to appreciate different cultures and helps us relieve the stress from daily life. However, making a satisfactory travel itinerary is one of the most complicated tasks for tourists, especially on self-planned trips. Although there is a lot of information available on the Internet and guidebooks, abundant guidelines still cause confusion and an overwhelming planning process. In order to simplify the complicated procedure, this project aims to design and implement a mobile application to generate a customised travel itinerary. Machine learning algorithms are implemented to generate the itinerary based on user preferences automatically. It selects the tourist spots and makes adjustments interactively according to the destination, travelling duration and user preferences within a short period. In conclusion, this mobile application allows travellers to minimise the process of trip planning and enjoy the journey. The energy and time can be saved from escaping endless research work before the trip. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-31T13:01:31Z 2022-05-31T13:01:31Z 2022 Final Year Project (FYP) Cai, D. (2022). Development of mobile application for automatic travel itinerary planning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158197 https://hdl.handle.net/10356/158197 en A3179-211 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Cai, Dongshuo Development of mobile application for automatic travel itinerary planning |
description |
Travelling is becoming more attractive and popular among all age groups. It provides
the opportunity to appreciate different cultures and helps us relieve the stress from
daily life. However, making a satisfactory travel itinerary is one of the most
complicated tasks for tourists, especially on self-planned trips. Although there is a lot
of information available on the Internet and guidebooks, abundant guidelines still
cause confusion and an overwhelming planning process.
In order to simplify the complicated procedure, this project aims to design and
implement a mobile application to generate a customised travel itinerary. Machine
learning algorithms are implemented to generate the itinerary based on user
preferences automatically. It selects the tourist spots and makes adjustments
interactively according to the destination, travelling duration and user preferences
within a short period.
In conclusion, this mobile application allows travellers to minimise the process of trip
planning and enjoy the journey. The energy and time can be saved from escaping
endless research work before the trip. |
author2 |
Ng Boon Poh |
author_facet |
Ng Boon Poh Cai, Dongshuo |
format |
Final Year Project |
author |
Cai, Dongshuo |
author_sort |
Cai, Dongshuo |
title |
Development of mobile application for automatic travel itinerary planning |
title_short |
Development of mobile application for automatic travel itinerary planning |
title_full |
Development of mobile application for automatic travel itinerary planning |
title_fullStr |
Development of mobile application for automatic travel itinerary planning |
title_full_unstemmed |
Development of mobile application for automatic travel itinerary planning |
title_sort |
development of mobile application for automatic travel itinerary planning |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158197 |
_version_ |
1772826317503332352 |