SymptoSense: An AI Assistant with Voice Interaction and Smart Symptom Detection and Doctor-Consultation Features

Abstract

Virtual Voice Health Assistant (AI driven system) The system lets the user to describe symptoms by natural voice entrance they enter illness. It then asks better follow-up questions to refine the context, which increases diagnostic reproducibility. At the same time, using a Retrieval-Augmented Generation (RAG) model the assistant is able to retrieve the relevant medical data that aids in disease prediction. When RAG retrieval falls short, it steps seamlessly onto the Gemini LLM API to promote inferencing power. When the system can predict a symptom, it leverages Google API to fetch specialists near you. The results are via a text to speech output enabling interactive application. All that in one system that combine natural language processing, Generative AI and geolocation services resulting to efficient, user friendly virtual healthcare. It shows the capacity of multi-modal AI systems in facilitating healthcare provision, particularly in the distant or ignored regions.

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