The primary objective of the “TRAVEL AND TOURISM MANAGEMENT” paper is to automate all travel and tourism-related processes, such as booking, confirmation, and improving client information. We suggested using the Random Forest Algorithm and the Dijkstra Algorithm with Google Maps API plug-ins to estimate the distance, real-time data, and the total tour budget in order to overcome the inadequacies of the current model. We also acquired user feedback and precise outcomes. The conventional approach could not forecast the local attractions and had trouble projecting the whole tour spending. With the help of travel and tourism management systems, clients may book tours from anywhere in the world using a single dynamic website and have access to comprehensive location and tour information on a single platform. By building a tour page, the administrator can add packages from certain hotel providers and travel companies to the website. After that, users can log in and turn in the assignment. The administrator can then see this information on their manage booking page. The confirmation is available for viewing on the user’s “my booking” page. It is the most user-friendly website available, providing easy booking and thorough information for all travelers.