AI-Powered Medicinal Plant Identifier with Intelligent Wellness Assistant and Ayurvedic Remedy Recommendation System

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Authors: Prof. T. A. Puranik, Gauri Patil, Janhavi S. Kolhe, Sanika R. Jumale, Sanchita R. Gahlod
Cited by: 0

Abstract

Ayurveda is one of the oldest holistic healthcare traditions in the world and is based largely on medicinal plants for the prevention, diagnosis, and treatment of diseases. However, despite its rich history and success rate, the proper identification and utilization of medicinal plants remain a challenge for the masses because of a lack of specialists, gaps in local knowledge, and inadequate online resources. Recently, artificial intelligence has been identified as a promising solution for dealing with difficult real-world issues in the fields of healthcare and agriculture. This paper proposes an intelligent system that combines image classification using deep learning with a conversational AI assistant for the identification of medicinal plants and the provision of authentic Ayurvedic knowledge and home remedies. The system uses a convolutional neural network that is trained on images of medicinal plants for their proper identification, and a chatbot interface allows for an interactive and user-friendly way of accessing information on the benefits, uses, and cautions related to medicinal plants. The proposed method aims to improve the availability of traditional knowledge, increase awareness about herbal medicine, and help in the digital preservation of Ayurvedic knowledge.

Fields of Study & Subjects

Smart Agriculture and AI Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
EN