Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55249

CureVerse: An AI-Driven Hybrid Health Assistant Integrating Modern and Ayurvedic Knowledge

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55249

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55249

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DRM

Dr. Raja M1

NR

N Rishika2

HR

Harshitha R3

YM

Yuktha M4

Author Services & Downloads

Full Articles

Abstract

CureVerse is an AI-powered health assistant designed to bridge the gap between modern allopathic medicine and traditional Ayurvedic wisdom. This system integrates Google’s Gemini AI with a hybrid medical knowledge base to yield personalized, context-aware health recommendations through a real-time chatbot interface. Using natural language processing (NLP), CureVerse interprets user symptoms and creates holistic suggestions that combine conventional treatments with Ayurvedic lifestyle and preventive remedies. The architecture involves a modular, privacy-centric design that incorporates AI reasoning, Dosha profiling, and rule-based inference for accurate, ethical, and inclusive digital healthcare delivery. Implementation through Python (Flask), Gemini API, and a dual database (SQLite/PostgreSQL) realizes real-time performance along with scalability. Experimental results demonstrate improvement in both accuracy and user satisfaction compared to generic chatbots, thus establishing the efficiency of this hybrid approach of merging AI and Ayurveda. By integrating data-driven intelligence with cultural awareness, CureVerse represents a significant step toward empathetic, intelligent, and preventive healthcare systems tailored for diverse populations.

KEYWORDS

Artificial Intelligence (AI) CureVerse Ayurveda Hybrid Health Assistant Gemini API Natural Language Processing (NLP) Telemedicine Preventive Healthcare Dosha Profiling Conversational Agent.

Cite This Article

Dr. Raja M1, N Rishika2, Harshitha R3, Yuktha M4, "CureVerse: An AI-Driven Hybrid Health Assistant Integrating Modern and Ayurvedic Knowledge," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55249

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/16/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...