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GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 1
MedAR: AI-Powered Interactive Medical Assistant
Authors
Saraswati Patil, Shravani Divate, Yash Gangamwar, Janhavi Gattani, Harshwardhan Bhogal
Abstract
MedAR combines OCR, conversational AI, and AR to enhance procedural training and medication literacy. With Tesseract.js for label extraction and Gemini-powered chat, MedAR recorded a 87.3% accuracy in OCR and a 34% CPR score increase over conventional instruction, showing improved access to information and better retention.
Pages:
3043 - 3049