ABSTRACT
Tourism industry is one of the fastest growing and highest revenue generating sectors in the world generating 1 million jobs globally. People all over the world love to travel to India as it is mystical land of dreams and they are fascinated by rich cultural heritage. The reason for visiting India can be varied; it can be official, personal or even related to health. In this paper, we have collected the data from international travelers through questionnaire. Our aim to study and analyze this data to predict whether he would like to visit India or not and how much his decision is impacted by social media. We use this collected samples as training data and also depending on the feedback from the users the model will be continuously modified to deduce more optimized result. We also propose an algorithm for the same.
