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@article{177723,
        author = {Krithik S and Marimuthu K and Sanjay Gandu and Mohammed Kaif},
        title = {AI-Driven Smart Tourism: Revolutionizing Travel, Hospitality, and Sustainable Experiences Through Technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3684-3688},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177723},
        abstract = {The tourism industry faces challenges in delivering seamless user experiences, optimizing operations, and providing personalized services. Traditional travel and hospitality services struggle with resource management, dynamic pricing, and real-time itinerary customization. To address these issues, we propose an AI-powered smart tourism platform that enhances traveler engagement, automates bookings, and optimizes trip planning through intelligent automation.
At its core, the platform leverages an AI engine to provide personalized recommendations based on user preferences, historical behavoiur, and real-time conditions. The service layer integrates PostgreSQL/SQLite databases for structured storage, Redis for highspeed caching, and machine learning models for behavoiural analysis. The application layer, powered by a Flask backend and a Flutter-based mobile interface, ensures smooth cross-platform interactions via a RESTFUL API, while the integration layer connects with external API’s for hotel bookings, transport, weather updates, and payments.
To ensure scalability and reliability, the infrastructure layer uses cloud hosting (AWS/GCP), containerization (Docker), and load balancing, ensuring high availability and fault tolerance. This AI-driven approach streamlines resource management for service providers, enhances traveller convenience, and optimizes pricing strategies, ultimately transforming the tourism industry into a smarter, more efficient ecosystem.},
        keywords = {AI-Powered Tourism, Smart Travel Solutions, Personalized Travel Recommendations, AI in Hospitality, Automated Booking System, Real-time Travel Optimization, Machine Learning in Tourism.},
        month = {May},
        }