Authors : S Devi Charishma; G Prasanthi; Sita Devi N; P G S SAchari; J Sai Kumar; Varshitha P

Volume/Issue : Volume 8 - 2023, Issue 12 - December

Google Scholar : http://tinyurl.com/4nbf4x82

Scribd : http://tinyurl.com/2363rsps

DOI : https://doi.org/10.5281/zenodo.10421645

Abstract : The Smart Tourism website is asimpleyet powerful platform designed to enhance travel experiences through intelligent decision-making. Good advice is essential for tourism. Existing websites have complex user interfaces for searching nearby places. To overcome this, we have built a website that automatically recommends all nearby scenic, cultural, spiritual, philanthropic, and sports-related tourist spots to the user. This project assists travelers in finding the best places to visit with images and historical information. It also helps in finding affordable accommodation and provides directional information. Key focal points of the Smart Tourism webpage include meticulous budget planning, strategic expense management, and leveraging technological advancements to uncover hidden gems. By integrating cutting-edge technologies and innovative strategies, we enable travelers to optimize their itineraries, make informed choices about accommodations, transportation, dining, and attractions, and ultimately create unforgettable memories within a sustainable financial framework. In essence, the Smart Tourism webpage is a testament to the symbiotic relationship between modern exploration and responsible resource allocation. It is a virtual compass guiding travelers toward authentic, rewarding, and financially astute travel experiences in an increasingly interconnected world.

Keywords : Gaussian Naive Bayes, k-Nearest Neighbors, Gradient Boost Trees, Decision Trees, Embarked, Logistic Regression, and Titanic Prediction.