TravoSmart : Smart Recommendation Engine for Tourism

The rapid growth of digital transformation in the travel and tourism industry has created a demand for mobile applications that provide seamless, personalized travel experiences. This study presents the development of tours, powering mobile use with Flutter as the front-end framework, and powering Firebase as the back-end service provider. This application integrates key features such as real-time travel books, personalized recommendations, and secure user authentication to ensure a user-friendly and efficient travel management system. Additionally, the app includes location-based recommendations to improve the user experience. By using Flutter's cross-platform functions, applications are accessible and accessible as they guarantee smooth performance for Android and iOS devices. The study also describes the impact of mobile travel solutions on user commitment, satisfaction and operational efficiency in the tourism sector. Future improvements include AI control recommendations, chatbot support and secure blockchain-based transactions. Keywords— Flutter, Firebase, Location Based Services, Mobile Travel Solutions