Vaidya AI: AI-Powered Virtual Healthcare Assistant

Abstract

The growing use of intelligent computing technologies is transforming the healthcare sector by improving digital medical support and patient interaction. This paper presents an AI-enabled healthcare assistance system designed to examine patient symptoms and provide preliminary healthcare guidance along with specialist recommendations. The proposed system incorporates advanced language intelligence, retrieval-supported response generation, machine learning methods, and multimodal processing techniques to manage different forms of user input, including textual descriptions, speech-based interaction, and medical images. The system is developed to operate in both connected and low-connectivity environments through the use of hybrid offline and online processing mechanisms. To enhance response quality and contextual relevance, the framework retrieves healthcare-related knowledge through semantic search methods before generating medical guidance. The architecture also combines local processing capabilities with cloud-supported intelligence to enhance adaptability, contextual understanding, and response efficiency. The developed model is capable of delivering basic healthcare insights, identifying possible medical concerns from user-provided symptoms, and suggesting appropriate healthcare professionals for further consultation. The proposed approach focuses on improving digital healthcare accessibility and providing supportive medical assistance for individuals living in underserved and resource-limited areas.