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This paper introduces the Digital Herbal Garden — an interactive, AI-assisted web platform built to make AYUSH medicinal plant knowledge genuinely accessible to everyday users. AYUSH, which covers Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy, represents thousands of years of accumulated healing wisdom. Yet much of this knowledge remains locked in textbooks, regional manuscripts, or specialist oral traditions. Our goal was simple: build a tool that anyone
a curious student, a practicing physician, or a home gardener
could use to explore, identify, and learn about medicinal plants without needing expert background. The platform brings together several practical features: camera-based plant identifica- tion using a deep learning model, detailed plant profiles covering therapeutic uses and care tips, a conversational herbal assistant, doctor consultation links, and personalized care reminders. In this extended version, we also describe our work on a blockchain- based data integrity mechanism, a Progressive Web App (PWA) design for offline use, and a gamification layer that encourages continuous learning. We share real pilot data from 340 users at MIT-ADT University, including AI identification accuracy results, user satisfaction scores, and engagement metrics — all illustrated with detailed analytics charts.
Keywords:
Digital platform, medicinal plants, AYUSH, Ayurveda, Yoga and Naturopathy, Unani, Siddha, Homeopathy, traditional medicine, natural healing, plant properties, herbal knowledge, education, Digital Herbal Garden, AYUSH, medicinal plants, Ayurveda, AI plant identification, deep learning, NLP chatbot, 3D visualization, blockchain, PWA, gamification, tradi- tional medicine, herbal knowledge.
Cite Article:
"Digital Herbal Garden: An AI-Powered Web Platform for Preserving and Promoting AYUSH Medicinal Plant Knowledge", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a250-a258, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605030.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator