Intelligent Travel Planner App

Planning a trip demands significant effort, involving research across numerous platforms while coordinating destinations, schedules, and financial constraints.Current travel planning platforms generally provide generic recommendations without adequately addressing individual requirements such as personal interests, temporal limitations, and spending capacity.This research introduces an intelligent tourism application leveraging artificial intelligence to automatically construct customized travel schedules while preserving user autonomy through manual adjustment capabilities.The application integrates four specialized computational modules: a dynamic Question Selection Algorithm (QSA) managing adaptive questionnaires, a Category Classification Algorithm (CCA) determining traveler preferences, a Role-Based Travel Group Algorithm (RBTGA) tailoring recommendations for different travel parties, and an Adaptive Response Algorithm (ARA) modifying questionnaire progression according to user input patterns.Distinguishing itself from conventional systems constrained by limited geographical scope or minimal datasets, this platform encompasses Karnataka's complete 31-district territory.Built upon modern full-stack technology utilizing React.js for frontend development, Spring Boot for backend services, and MySQL for data management, the solution delivers practical functionality for individual travelers, commercial travel operators, and governmental tourism departments.