Developed a web-based AI application for preliminary health assessment using an SVM classifier trained on symptom–disease datasets. Supports manual and voice-based symptom input with real-time predictions. Enhanced predictions with structured outputs including descriptions, precautions, medications, diet, and workouts, delivered via a clean Flask + Bootstrap UI. Designed with a modular, extensible architecture for future model and API integrations.