Sri Āyu is an innovative AI-powered platform that integrates traditional Ayurvedic knowledge with modern data science to revolutionize holistic healthcare and wellness tourism in Sri Lanka. Ayurveda, while deeply rooted in culture and offering personalized care, often faces challenges in mainstream acceptance due to its reliance on subjective diagnostics and limited data validation. Sri Āyu addresses these gaps by introducing a unified, intelligent system that automates key Ayurvedic functions and delivers data-driven insights. The platform comprises four main components: Dosha Classification, Disease Prediction with Personalized Treatment Recommendation, Treatment Outcome Prediction, and Ayurvedic Tourism Forecasting. Using machine learning models such as Logistic Regression, Random Forest, SVM, and XGBoost, it analyzes user inputs like body characteristics, symptoms, and demographics to accurately determine Dosha types, suggest tailored wellness plans, and predict treatment success rates along with expected recovery timelines. Additionally, it leverages time-series analysis to forecast tourism trends, supporting strategic decision-making for the wellness tourism sector. Sri Āyu features a user-friendly web interface that connects patients, practitioners, and stakeholders in a seamless experience. It empowers Ayurvedic clinics, wellness seekers, and tourism boards with tools for evidence-based care and strategic planning. The project not only enhances the credibility and scalability of Ayurveda through technology but also promotes Sri Lanka as a global destination for holistic wellness. With potential expansion into telemedicine, wearable integration, and multilingual support, Sri Āyu sets a foundation for the future of AI-integrated traditional medicine.