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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

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IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 7 | Month- July 2026

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  Authors

Niraj Doiphode,Anushree Kekapure,Jidnyasha Khapne,Rutuja Lambat,Mansi Nanwani

  Keywords

Ayurveda , Food Recommendation, Random forest, Prakriti, Hybrid Recommendation System, Dosha Balancing, AI in Healthcare

  Abstract


In Ayurveda, personalized nutrition is based on an individual's constitution (Prakriti), seasonal variations (Ritu), and digestive strength (Agni), which play a crucial role in maintaining health and preventing diseases. However, existing Artificial Intelligence (AI)-based Ayurvedic systems mainly focus on diagnostic analysis and lack effective implementation of constitution-specific dietary recommendations. This research proposes VedAahar, a machine learning-based Ayurvedic meal recommendation system that integrates Random Forest multi-class classification with rule-based filtering derived from Ahara Vidhi principles. The system utilizes structured datasets, including vegetarian, non-vegetarian, and fasting meal categories, and considers features such as prakriti, ritu, health goals, and meal slots to generate personalized recommendations. Additionally, Top-K probabilistic ranking and history-based de-duplication techniques are applied to ensure diverse and relevant meal suggestions. Experimental results show that the model achieves an accuracy of 69.14%, demonstrating its effectiveness in providing constitution-aware dietary guidance. Overall, the proposed system bridges traditional Ayurvedic knowledge with modern AI techniques, contributing to the development of intelligent and personalized preventive healthcare solutions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2604140

  Paper ID - 304851

  Author type - Indian Author

  Page Number(s) - b114-b122

  Pubished in - Volume 14 | Issue 4 | April 2026

  DOI (Digital Object Identifier) -   

  No Of Downloads - 100

  Author Country - India, 444607, Amravati, Amravati, 444607, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2604140

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2604140

  Published Paper PDF Downlaod: - download.php?file=IJCRT2604140

  Cite this article

Niraj Doiphode,Anushree Kekapure,Jidnyasha Khapne,Rutuja Lambat,Mansi Nanwani,   "Vedaahar: An AI-Based Personalized Ayurvedic Food Recommendation System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 4, pp.b114-b122, April 2026, Available at :http://www.ijcrt.org/papers/IJCRT2604140.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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International Journal of Creative Research Thoughts (IJCRT)
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