Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64302
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
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.
Department of Computer Science and Engineering
Karmaveer Bhaurao Patil College of Engineering
Department of Computer Science and Engineering
Karmaveer Bhaurao Patil College of Engineering
Department of Computer Science and Engineering
Karmaveer Bhaurao Patil College of Engineering
This paper presents Nivarana, a web-based Ayurvedic Diet Management System that bridges traditional Ayurvedic nutritional wisdom with contemporary computational methods to deliver personalized dietary guidance. Modern dietary applications predominantly rely on generic nutritional metrics and fail to capture the individualized, constitution-centric approach advocated by Ayurveda. Nivarana addresses this gap by integrating a structured Dosha (Vata, Pitta, Kapha) assessment questionnaire with a rule-based food filtering engine and health-goal alignment module to generate tailored meal plans. The system collects user-specific inputs, computes Dosha severity scores, cross-references a curated Ayurvedic food database, and produces personalized diet recommendations alongside modern nutritional metrics. The application follows a three-tier modular architecture — Presentation, Application, and Data layers — built using React.js on the frontend, Python (Flask/FastAPI) or Node.js on the backend, and MySQL as the relational database. Results demonstrate that the system consistently produces coherent, goal-aligned dietary suggestions for common health conditions including heart health, weight management, and diabetes management. This work establishes a replicable digital framework for Ayurvedic personalized nutrition and highlights the potential of knowledge-driven computing to enhance holistic healthcare accessibility.
KEYWORDS
This paper presented Nivarana, an Ayurvedic Diet Management System that successfully demonstrates how classical Ayurvedic dietary principles can be operationalized within a structured, user-friendly digital application. By combining a Dosha assessment module, a rule-based food filtering engine, and a personalized meal plan generator within a modern three-tier web architecture, the system delivers coherent, constitution-aligned dietary recommendations for a range of health goals. The project validates a replicable digital framework for Ayurvedic personalized nutrition, highlighting the compatibility of traditional health knowledge with modern software engineering. While current limitations exist around database coverage and clinical integration, the system provides a meaningful step toward making Ayurvedic dietary guidance accessible, standardized, and scalable in a contemporary digital format. Nivarana demonstrates that traditional wellness principles, when encoded through well-designed computational frameworks, can deliver practical, personalized health guidance to the broader population — contributing to the growing intersection of ancient knowledge systems and modern health informatics.
[1] U. Payyappallimana and P. Venkatasubramanian, “Exploring Ayurvedic Knowledge on Food and Health for Providing Innovative Solutions to Contemporary Healthcare,” – Journal of Ayurveda and Integrative Medicine. [2] A. Vijayakumar, H. B. Dubasi, A. Awasthi, and L. M. Jaacks, “Development of an Indian Food Compositions Database,” – Nutrition Journal. [3] A. Abeltino, A. Riente, G. Bianchetti, and C. Serantoni, “Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art,” – Open Access Journal. [4] “Technological enhancements in personalized dietary management for chronic conditions,” Biomedical Engineering and Applications, 2025. https://doi.org/10.1016/j.bea.2025.100181 [5] “AYUSH digital initiatives: Harnessing the power of digital technology for India’s traditional medical systems,” Journal of Ayurveda and Integrative Medicine, 2021. https://doi.org/10.1016/j.jaim.2021.07.014 [6] ICMR National Institute of Nutrition, “Nutrient Requirements and Recommended Dietary Allowances for Indians,” National Institute of Nutrition, Hyderabad. [7] S. Banerjee et al., “Ayurnutrigenomics: Ayurveda-inspired personalized nutrition,” 2015. [8] U. Payyappallimana, “Exploring Ayurvedic Knowledge on Food and Health for Contemporary Use: Adapting Ayurveda to Modern Lifestyle,” 2016. [9] A. Purushotham et al., “Vegetarian Diets, Ayurveda, and the Case for an Integrative Nutrition Science,” 2021. [10] A. Chauhan et al., “Modulation of Gut Microbiota with Ayurveda Diet and Lifestyle,” 2023. [11] B. Patwardhan, “Bridging Ayurveda with Evidence-Based Scientific Approaches in Medicine,” 2014.
Publication Date
6/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
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.
Related research in the same subject area
Loading similar articles...