Jasmine : An Application of AI- Assistance in Healthcare Supporting

Abstract

AI-driven decision support systems and voice-assisted health monitoring are becoming revolutionary technologies in contemporary healthcare applications. They also show promise as ways to improve accessibility for elderly and disabled patients and support healthcare systems.  Even still, current approaches frequently do not combine deep learning, speech, and vision into a single framework. Voice-powered AI systems aim to automate these processes, allowing physicians to dedicate more time to direct patient care. This shift not only improves healthcare delivery but also boosts provider well-being. From a patient perspective, voice assistants increase accessibility and engagement, especially for elderly and disabled populations. These systems enable patients to manage appointments, receive medication reminders, and access health information without navigating complex interfaces. This research addresses this gap by developing a multimodal AI-powered assistant capable of interacting with users through voice commands, real-time image analysis to provide timely medical information.