AI-Powered Virtual Medical Assistant for South Asian Healthcare Challenges: A Meta-LLaMA-3.1-8B-Instruct and LoRA-based Approach

The AI Virtual Med-Assistant is a 3D interactive healthcare platform designed for South Asian communities. It combines a fine-tuned large language model with multilingual speech recognition and text-to-speech to provide real-time, culturally adapted medical guidance. Built with React, Three.js, and WebSocket communication, the system simulates a virtual consultation room where users can interact naturally with an AI doctor. The project aims to address healthcare access gaps in underserved areas by delivering accurate medical information, appointment scheduling, and user-friendly interfaces in local languages.

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/7pw8j
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Virtual Medical Assistant for South Asian Healthcare Challenges: A Meta-LLaMA-3.1-8B-Instruct and LoRA-based Approach

Open Science Framework
ICT in Developing Communities
article

AI-Powered Virtual Medical Assistant for South Asian Healthcare Challenges: A Meta-LLaMA-3.1-8B-Instruct and LoRA-based Approach

article en

Abstract

The AI Virtual Med-Assistant is a 3D interactive healthcare platform designed for South Asian communities. It combines a fine-tuned large language model with multilingual speech recognition and text-to-speech to provide real-time, culturally adapted medical guidance. Built with React, Three.js, and WebSocket communication, the system simulates a virtual consultation room where users can interact naturally with an AI doctor. The project aims to address healthcare access gaps in underserved areas by delivering accurate medical information, appointment scheduling, and user-friendly interfaces in local languages.

Open Science Framework
Quality Education
Openalex Percentile: Top 46%
ICT in Developing Communities
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AI-Powered Virtual Medical Assistant for South Asian Healthcare Challenges: A Meta-LLaMA-3.1-8B-Instruct and LoRA-based Approach · Open Science Framework (2025) | TGRS Research Map | TGRS