The increasing burden of lifestyle-related health conditions has generated significant interest in preventive, personalized approaches to nutrition and wellness. Ayurveda, the ancient Indian system of medicine, offers a comprehensive framework for individualized health management through its Tridosha theory—classifying individuals into Vata, Pitta, and Kapha constitutional types (Prakriti). However, access to personalized Ayurvedic guidance has traditionally been limited to in-person consultations with practitioners. This paper presents AyuNutriCloud, a cloud-based web application that democratizes Ayurvedic wellness by enabling automated Prakriti assessment, AI-driven personalized diet and lifestyle recommendations, meal tracking, and longitudinal analytics. The system employs a validated weighted scoring algorithm for dosha classification, a rule-based Ayurvedic recommendation engine, and a serverless cloud architecture built on React.js, TypeScript, Tailwind CSS, and Supabase (PostgreSQL). User evaluation across fifteen participants demonstrated high satisfaction, with dosha assessment accuracy rated 4.3/5, diet recommendation relevance at 4.5/5, and interface usability at 4.7/5. AyuNutriCloud bridges the gap between classical Ayurvedic knowledge and modern digital health technology, providing a scalable, accessible platform for preventive wellness.