Applying AI and Data Mining Techniques to Evaluate and Enhance Life Quality in Eco-Friendly Healthcare Tourism Destinations

In the multifaceted domain of Computer Science and AI, the study of wellness tourism, particularly in health-conscious retreats like thermal spas, is emerging as an area ripe for technological innovation aimed at enhancing human well-being. This paper offers a comprehensive review of operational strategies at the Caldas de Cavaca Warm Spa Hotel in Brazil, proposing new procedures that integrate healthcare services with the amenities of a wellness tourism destination. The research methodology is grounded in empirical data collection, utilizing a diverse set of tools to obtain a holistic understanding of the operational dynamics. The research employs a comparative analysis approach complemented by targeted surveys directed at both administrators of thermal wellness centers and patrons of the Caldas de Cavaca Spa. Additionally, an online survey captures feedback from a broader audience, including industry leaders and customers, providing a spectrum of perspectives on the spa's services and initiatives. The study identifies a suite of 40 strategic actions, each aligned with the frameworks and guidelines set forth by health and tourism authorities at international, national, and local levels. Among these strategies, 14 distinct actions are spotlighted for their effectiveness in elevating the quality of life and well-being of the spa's clientele. These actions underscore the potential of Caldas de Cavaca to reposition itself as a premier geothermal wellness destination that promotes healthy living. The spa is envisioned as a haven where guests can engage in restorative practices within a tranquil environment, harmoniously integrated with the natural world. The findings anticipate the role of innovative technological applications in shaping the future of wellness retreats, catering to the evolving demands of health-conscious tourists.