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An Intelligent System for Tourism Management using k-medoids Algorithm

Travelling to places is really a joyful thing for all of us. The tedious job is to decide where to go and what should be the places to visit. Ideally everyone would like to visit the most popular places and that too in least possible time. We generally outsource this job to a travelling agency as doing it manually seems to be a tedious job. Our paper aims to enable us to do this tedious job with ease. A small device which is always found with almost all of us nowadays is a mobile phone. Navigation feature available in mobile devices with GPS is very useful to find paths while travelling. Lot of different websites could be accessed to get information about destinations, accommodation, means of transport etc. The limitation of such systems is that the user required to have prior knowledge about the places to visit. Already existing systems do not give the consolidated plan of a trip. The basic idea of our paper is to design a system that will help travellers to explore new places. The system should create a dynamic itinerary, which satisfies user constraints. Those constraints should be simple like duration of a trip, health constraints, user interests etc. The more desirable output would be the time to travel from one object to next and the hotel at which user should stay to optimize the travelling time. The system will generate the most cohesive itinerary which fulfils the user constraints. The system should be helpful for all who wants to explore new cities without much knowledge about the same.