Tourism became most popular in these decades, which the intensity of the user needs is enlarged significantly. Usually the popular travel websites give wide-ranging information such as cost details of the hotel, transportation prices, etc. But this information is not enough for the customers to get satisfied with travels in this model world. They expect more challenging information for their journey, and it should be presented on the websites, which helps to make creatively and provides more special travel plans for the users. Many more existing schemes are there on the web to improve the user for tourism. But these schemes give same and repeated information, and in many cases, the websites provide a smaller amount of secured and confidential user data and present many numbers of Ads, MNC tight-up companies oriented news for making money. In this proposed system, using the concept of text mining to recommend the best tourist spot based on budget, climate, crowd, etc. and also the data of the user are to be maintained very secure. In addition, many research activities are going on to provide more effective tourist spot for the tourists. The implementation tools are MongoDB, Angular Js, and the Spring framework is used in the development of the system. In this research designing the platform for tourists in Tamil-Nadu to include additional information about the tourist locations and also access the clear view on user review that is available in our platform helps fasten the tourist’s decision-making process. © 2020, World Academy of Research in Science and Engineering. All rights reserved.