Machine Learning Based Tourist Place Recommendation System

Sachin Walunj, Priyanka Bhalere, Yashwant Bhaidkar

Abstract


Android Phone has power to access or fetch data from
remote location and provide various facilities to the user. Hence
android applications have more and more demand because of its
user friendly nature and its power ofcomputation. Many tourist are
having problem to search propertourist places due to communication
overhead or less facility of tourist guide.It is impractical to search
each and every tourist place at every location. Soin order to provide
feasible as well as user friendly solution for this problem we
develop an android application which will automatically
recognizefamous and nearby places and send notification to android
phone. This application also provides weather recommendation
feature which notifies thetourist about weather conditions of the
destination before visiting it. Allplaces are properly categorized and
also with review or rating. The application also provides facility of
vehicle mark to reach your vehicle after sitevisit. We are using
Triangulation method with LBS as well as GPS to trackthe location
of user. And as per his location, relevant list of tourist placeswill be
send in the form of pop up notification.

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