An Approach Travel Recommendation System and Route Optimizer using AI

Abstract

The allure of traveling as a hobby has grown significantly throughout time. To enjoy the trip as much as possible and to make the most of the limited time while traveling, one must prepare and conduct adequate research before traveling to a place. Travelers currently use the technique of leaving the planning of the trip to travel companies. Travel agencies frequently follow a fixed set of travel itineraries in order to maximize profits, but these plans are not tailored to the demands of the customers. The existing travel recommendation systems on the market today have some restrictions, such as the fact that they don't account for traffic conditions or the distance between the hotel and the most popular attractions. The suggested system takes into account a number of variables, including the age of the tourist, their interests, the weather at the time of the journey, and the traffic in the cities at the time. It will make suggestions for hotels, restaurants, and other activities a visitor can partake in during his stay by applying sentiment analysis and geo-tagging.