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Paper Title

Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance

Authors

Sandeep Kulkarni , Nikhil Mishra , Utkarsh Yadav , Raman Sharma

Keywords

speech recognition, Whisper AI, Llama 4 Scout, medical image analysis, text-to-speech, gTTS, disease detection

Abstract

This paper presents Dr.AI, a comprehensive AI-driven multimodal healthcare chatbot platform designed to democratize medical guidance through advanced natural language processing, Retrieval-Augmented Generation (RAG), and real-time emergency response capabilities. Dr.AI integrates Meta's llama-4-scout-17b-16e-instruct language model accessed via the Groq LPU inference engine, a curated ChromaDB vector store of 3,760 medical knowledge chunks, OpenAI Whisper for speech-to-text transcription, and Google Text-to-Speech (gTTS) for audio output. The system supports over 16 languages including Hindi, Hinglish, Marathi, Tamil, and Telugu, enabling voice-based and text-based medical consultation across diverse linguistic populations. Key features include a 5-step AI symptom checker, emergency SOS with real-time GPS hospital finder, medicine reminder scheduling, family health profile management, AI-powered medical report analysis for X-rays and lab results, webcam image capture, and a downloadable PDF health report. The platform is deployed on Render (backend) and Vercel (frontend) with Firebase Firestore for persistent data storage. Experimental results demonstrate that RAG-enhanced responses achieve approximately 85-90% factual grounding accuracy compared to 65-70% without RAG on domain-specific medical queries. The paper describes the system architecture, RAG pipeline design, deployment infrastructure, multilingual capabilities, and emergency detection mechanisms, establishing Dr.AI as a scalable, accessible, and clinically aware AI health companion.

How To Cite

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IJCRT — journal style
"Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.b322-b331, April 2026, Available :https://ijcrt.org/papers/IJCRT2604165.pdf
APA — 7th edition
Kulkarni, S., Mishra, N., Yadav, U., & Sharma, R. (2026). Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance. International Journal of Creative Research Thoughts, 14(4), b322-b331. https://doi.org/10.56975/ijcrt.v14i4.304719
MLA — 9th edition
Kulkarni, Sandeep, et al. "Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. b322-b331, https://doi.org/10.56975/ijcrt.v14i4.304719.
Chicago — 17th, bibliography
Kulkarni, Sandeep, et al. "Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance." International Journal of Creative Research Thoughts 14, no. 4 (2026): b322-b331. https://doi.org/10.56975/ijcrt.v14i4.304719.
Harvard — author–date
Kulkarni, S. et al. (2026) 'Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance', International Journal of Creative Research Thoughts, 14(4), pp. b322-b331. Available at: https://doi.org/10.56975/ijcrt.v14i4.304719
IEEE — numbered reference
S. Kulkarni, N. Mishra, U. Yadav and R. Sharma, "Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance," IJCRT, vol. 14, no. 4, pp. b322-b331, Apr. 2026, doi: 10.56975/ijcrt.v14i4.304719.
Vancouver — biomedical
Kulkarni S, Mishra N, Yadav U, Sharma R. Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance. IJCRT. 2026 Apr;14(4):b322-b331. doi: 10.56975/ijcrt.v14i4.304719
AMA — 11th edition
Kulkarni S, Mishra N, Yadav U, Sharma R. Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance. IJCRT. 2026;14(4):b322-b331. doi:10.56975/ijcrt.v14i4.304719
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604165, author = {Sandeep Kulkarni and Nikhil Mishra and Utkarsh Yadav and Raman Sharma}, title = {Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {b322-b331}, year = {2026}, month = {April}, issn = {2320-2882}, doi = {10.56975/ijcrt.v14i4.304719}, url = {https://doi.org/10.56975/ijcrt.v14i4.304719} }
RIS — EndNote, RefWorks
TY - JOUR AU - Kulkarni, Sandeep AU - Mishra, Nikhil AU - Yadav, Utkarsh AU - Sharma, Raman TI - Dr.AI: A Multimodal RAG-Enhanced Healthcare Chatbot for Multilingual Disease Awareness, Emergency Detection and Accessible Medical Guidance T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 DO - 10.56975/ijcrt.v14i4.304719 UR - https://doi.org/10.56975/ijcrt.v14i4.304719 SP - b322-b331 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : b322-b331

Article Information

Pages
b322-b331
Published
April 2026
Registration ID
IJCRT_304719
Published Paper ID
IJCRT2604165
Research Area
Science and Technology
Author Type
Indian Author
Location
Pune, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
184
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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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