|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Arogya Chintak |
| Authors Name: | Om Loyare , Alisha Raut , Ayushi Shet , Bhavika Thakur |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218067
|
| Published Paper Id: | IJNRD2404443 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Arogya Chintak is a groundbreaking mobile application that is poised to revolutionize the way individuals understand, manage, and take control of their health. This innovative and intelligent app harnesses the power of advanced AI and natural language processing to provide users with swift, precise, and personalized insights into their health concerns. The exploration of Ayurvedic practices and personalized healthcare in the literature encompasses various dimensions, including the application of machine learning models for Prakruti identification [1]. Studies delve into the correlation between Prakruti and Sharirika Bala [2], employing intelligent Prakruti assessment with machine learning classifiers [3], and conducting clinical observational studies on Prakruti [4]. Ayurgenomics is utilized for drug discovery [5], while ensemble machine learning methods contribute to dosha prediction [6]. Surveys on human Prakruti and Tridosha [7] provide valuable insights, and a portable pulse detector is developed using artificial neural networks [8]. Recent advances underscore the fusion of genomics and Ayurveda [9], highlighting technology's transformative potential. The computerized pragmatic assessment of Prakruti Dosha using tongue images demonstrates the integration of modern tools into Ayurveda for personalized treatments [11]. Clinically adaptable Prakruti assessment tools are developed, emphasizing India's rich medical heritage [13] and the crucial role of Prakriti assessment in tailoring personalized Ayurvedic treatments [14]. The convergence of Ayurveda and traditional systems opens avenues for herbal drug discovery [15]. In summary, these studies collectively illustrate the synergy between technology and Ayurvedic wisdom, offering innovative approaches to holistic healthcare. |
| Keywords: | Arogya Chintak, Mobile health app, AI,, Machine Learning, Ayurveda, Prakruti, Personalized healthcare, Dosha Prediction, Tongue image analysis, Survey, Prakruti indentification, Ckinical studies. |
| Cite Article: | "Arogya Chintak", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e394-e401, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404443.pdf |
| Downloads: | 00021 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2404443 Registration ID: 218067 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: e394-e401 Country: Virar, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404443 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404443 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn