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The tour will be the first thing that anybody talks about during the summertime and on the weekends. In order to build tourism scenarios, the earlier researches have produced an analysis report supporting the processing of the downloaded photographs. This processing appears to be only partially accurate, and there is a time lag involved. Our project's objective is to verify the attractiveness of places supported by a location that is provided alongside a dataset that was taken of tourists on-site and tourists from other countries in order to market the tourist places and also to segregate the people into different age groups before making recommendations for tourist spots to them. As part of our project, we will be constructing an application that runs on the internet. This idea is beneficial to tourists in a number of ways, such as pointing them in the direction of better locations, which may include less frequented but more expensive destinations.


Support Vector Machine (SVM), Feedback, Sentiment Analysis (SA), Tourist, Recommendation Engine, Suggestion Based-Filtering.

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S. Suman Rajest, Shynu T, R. Regin*, & Steffi. R. (2023). An Individualized Recommendation and Promotional System for Tourist Attractions. Central Asian Journal of Theoretical and Applied Science, 4(5), 64-84. Retrieved from


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