A Voice-Driven AI Healthcare Ecosystem for Intelligent Screening, Prevention, and Emergency Response

Healthcare systems in rural and semi-urban areas continue to face problems such as late medical care , less awareness, wrong or misinformation during outbreaks, shortage of medical care professionals, and low emergency response. These issues often lead to loss of lives, as clearly observed during the COVID-19 pandemic. To solve this problem we develop MIRA, an AI-driven, voice-activated healthcare ecosystem designed to provide early screening, preventive alerts, virtual voice-activated medical assistant, and emergency response through a single platform. MIRA integrates three core technology/phases: a voice-enabled screening assistant, the Raksha System for preventive outbreak detection and awareness, and the Suraksha System for emergency coordination including virtual doctor connectivity through video call and ambulance support which all to short out the shortest way. The system emphasizes accessibility through multi language voice support, offline and low-internet functionality, and simple user-friendly interfaces suitable for diverse populations. MIRA uses the approach name rule-based logic supported by basic machine learning models to know health risks and provide correct responses. spread awareness, reduce emergency response time during emergencies, and grow the healthcare sector/environment

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Publication Details

Journal
International Journal of Research and Review in Applied Science Humanities and Technology
Published
2026-10-30
DOI
https://doi.org/10.71143/np28x512
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
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article

A Voice-Driven AI Healthcare Ecosystem for Intelligent Screening, Prevention, and Emergency Response

Shreyas Pagare, Praveena Joshi Praveena Joshi, Pranay Bhawsar
2 links
International Journal of Research and Review in Applied Science Humanities and Technology
Innovation in Digital Healthcare Systems
article

A Voice-Driven AI Healthcare Ecosystem for Intelligent Screening, Prevention, and Emergency Response

Shreyas Pagare, Praveena Joshi Praveena Joshi, Pranay Bhawsar
article en

Abstract

Healthcare systems in rural and semi-urban areas continue to face problems such as late medical care , less awareness, wrong or misinformation during outbreaks, shortage of medical care professionals, and low emergency response. These issues often lead to loss of lives, as clearly observed during the COVID-19 pandemic. To solve this problem we develop MIRA, an AI-driven, voice-activated healthcare ecosystem designed to provide early screening, preventive alerts, virtual voice-activated medical assistant, and emergency response through a single platform. MIRA integrates three core technology/phases: a voice-enabled screening assistant, the Raksha System for preventive outbreak detection and awareness, and the Suraksha System for emergency coordination including virtual doctor connectivity through video call and ambulance support which all to short out the shortest way. The system emphasizes accessibility through multi language voice support, offline and low-internet functionality, and simple user-friendly interfaces suitable for diverse populations. MIRA uses the approach name rule-based logic supported by basic machine learning models to know health risks and provide correct responses. spread awareness, reduce emergency response time during emergencies, and grow the healthcare sector/environment

International Journal of Research and Review in Applied Science Humanities and TechnologyVol. 3(4)
Indian Institute of Space Science and Technology (IN)
Good health and well-being
Openalex Percentile: Top 8%
Innovation in Digital Healthcare Systems
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