| Summary: | 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.
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