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Jarvis Health: An AI-Based Voice-Enabled Symptom Checker Chatbot for Preliminary Health Assessment
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2025
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Abstract
In the evolving digital healthcare landscape, Artificial Intelligence (AI) plays a crucial role in early diagnosis and patient engagement. This paper presents "Jarvis Health", a voice-enabled AI chatbot designed to assist users in conducting preliminary health assessments through natural conversation. Using Natural Language Processing (NLP), speech-to-text, and a Flask-based back-end, Jarvis Health provides a seamless interface for users to report symptoms and receive preliminary advice. The system integrates literature-backed chatbot design principles and ensures inclusive and ethical AI considerations. The goal is to ease the burden on medical professionals by acting as a first-level screen while promoting accessibility for remote and under-served areas. The prototype is developed using open-source tools and is evaluated for conversational performance and user-friendliness.
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