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Paper Title

AI –Driven Personalised Medicine: Enhancing Healthcare

Authors

Anushya R , Vinay S , Priyanka K R

Keywords

Artificial Intelligence in Healthcare, Personalized Medicine, Hybrid AI Systems, Generative AI, Rule-Based Expert Systems, Symptom Checker, Multimodal Medical Analysis, Multilingual Voice Interfaces, Clinical Decision Support, Digital Health Platforms

Abstract

: In a time when getting reliable healthcare information quickly is essential, language barriers and the complexity of medical data often hinder effective self-care. This project introduces "AI Personalised Medicine," an intelligent health assistant designed to connect modern medical technology with accessible wellness advice. The application has a hybrid design that combines Generative AI with a Rule-Based Engine to ensure safety. Unlike regular chatbots, AI Personalised Medicine uses a "Dual-Engine" approach. It offers users both modern medical advice and traditional Ayurvedic home remedies for each diagnosis. Key features include a Symptom Checker that takes into account patient vitals, medical history, age, and gender. To improve accessibility, the system includes Multimodal (Medical Vision), allowing users to upload images of skin issues or lab reports for review. The platform supports over 10 Indian languages with full voice interaction, making healthcare advice available to non-English speakers. Other features include a personalized 7-Day Diet Planner, a Drug Interaction Safety Checker, and a GPS-enabled Doctor Locator

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"AI –Driven Personalised Medicine: Enhancing Healthcare", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 12, page no.b243-b248, December-2025, Available :https://ijrti.org/papers/IJRTI2512132.pdf
APA — 7th edition
R, A., S, V., & R, P. K. (2025). AI –Driven Personalised Medicine: Enhancing Healthcare. International Journal for Research Trends and Innovation, 10(12), b243-b248. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
MLA — 9th edition
R, Anushya, et al. "AI –Driven Personalised Medicine: Enhancing Healthcare." International Journal for Research Trends and Innovation, vol. 10, no. 12, 2025, pp. b243-b248, https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132.
Chicago — 17th, bibliography
R, Anushya, Vinay S, and Priyanka K R. "AI –Driven Personalised Medicine: Enhancing Healthcare." International Journal for Research Trends and Innovation 10, no. 12 (2025): b243-b248. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132.
Harvard — author–date
R, A., S, V. and R, P.K. (2025) 'AI –Driven Personalised Medicine: Enhancing Healthcare', International Journal for Research Trends and Innovation, 10(12), pp. b243-b248. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
IEEE — numbered reference
A. R, V. S and P. K. R, "AI –Driven Personalised Medicine: Enhancing Healthcare," IJRTI, vol. 10, no. 12, pp. b243-b248, Dec. 2025.
Vancouver — biomedical
R A, S V, R PK. AI –Driven Personalised Medicine: Enhancing Healthcare. IJRTI. 2025 Dec;10(12):b243-b248.
AMA — 11th edition
R A, S V, R PK. AI –Driven Personalised Medicine: Enhancing Healthcare. IJRTI. 2025;10(12):b243-b248. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2512132, author = {Anushya R and Vinay S and Priyanka K R}, title = {AI –Driven Personalised Medicine: Enhancing Healthcare}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {12}, pages = {b243-b248}, year = {2025}, month = {December}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132} }
RIS — EndNote, RefWorks
TY - JOUR AU - R, Anushya AU - S, Vinay AU - R, Priyanka K TI - AI –Driven Personalised Medicine: Enhancing Healthcare T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 12 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2512132 SP - b243-b248 ER -

Issue

Volume 10 Issue 12, December-2025
Pages : b243-b248

Other Publication Details

Paper Reg. ID IJRTI_208785
Published Paper ID IJRTI2512132
Downloads 205,626
Research Area Computer Engineering 
Country bangalore , karnataka , India
Published December 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence

© 2025 — 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.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

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 for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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