An innovative travelling planner assistant using KNN algorithm

Abstract

Tourism is an significant economic engine. According to the World Tourism Organization (UNWTO), the international tourism has grown steadily over the last sixty years; where it constitutes one of the leading sectors with the fastest growing in the world.

"Tourism has become one of the main items of international trade. Today, international tourism is become the fourth largest source of export revenue after the oil industry, chemical and automotive. To increase the source of income in this tourism industry we to need to develop the proper  system to travel planning system. In todays travel planning system  The most common problem a tourist faces is of budget. While traveling they  are not sure how much money they  have to take with them, as having more cash then required or heavy amount of cash is difficult to handle. They  are afraid of theft or loss of money. And another common problem while travelling to some place is where to stay or how to communicate at that local place and where to eat. This business plan includes development of business model, mobile application with proposed feature, and also its financial sustainability plan.so there is need to develop the system which provide a solution to this in only one domain .With all the information instantly available, people can look up for exactly what they want without having surfing, browsing web application or going around in circle. As per business perspective, all the operations-information, booking, invoicing, billing, and every other things  is automated leading by only one system .There is no need to  search or  to  book for different  website and make a plan for the trip.

How to cite this article:
Gayatri B, Pawar N, Priyanka A, Shinde V et al.
An Innovative Travelling Planner Assistant using
KNN Algorithm. J Adv Res Info Tech Sys Mgmt
2019; 3(2): 1-3.