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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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Green Elixir Vision: An Intelligent Ayurvedic Herbal Recommendation Platform for Personalized Natural Healthcare

H. Srinivas, J. Vinay, K. Basavana Gouda, K. G Ravi Teja Gowda, Dr. C. N. Shariff

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Abstract: The increasing dependence on synthetic medications for minor health conditions has created significant concerns regarding long-term side effects, reduced immunity, and antibiotic resistance. Traditional medical systems such as Ayurveda provide effective and natural alternatives; however, access to authenticated herbal knowledge remains fragmented across books, practitioners, and unstructured online resources.
This paper presents Green Elixir Vision, an intelligent web- based herbal healthcare platform that combines Ayurvedic medicinal knowledge with Artificial Intelligence techniques to provide personalized herbal recommendations. The proposed system integrates Natural Language Processing, symptom interpretation, rule-based recommendation logic, and a structured medicinal plant database to assist users in identifying suitable herbal remedies for common health issues.
Experimental evaluation demonstrates reliable recommendation accuracy, efficient data retrieval, and improved user accessibility.

Keywords: Ayurveda, Artificial Intelligence, Herbal Recommendation, Natural Language Processing, Personalized Health- care, Medicinal Plants

How to Cite:

[1] H. Srinivas, J. Vinay, K. Basavana Gouda, K. G Ravi Teja Gowda, Dr. C. N. Shariff, β€œGreen Elixir Vision: An Intelligent Ayurvedic Herbal Recommendation Platform for Personalized Natural Healthcare,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.155256

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.