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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Neural Intelligence in Ayurveda: A Deep Learning-Driven Ecosystem for Herbal Discovery and Trade |
| Authors Name: | Asavari Desai , Riya Desai , Sakshi Powale , Swati Sonavane , Dr. Divya Tamma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202648
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| Published Paper Id: | IJRTI2504175 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | http://doi.one/10.1729/Journal.44893 |
| Abstract: | Medicinal plants play a crucial part in the Ayurvedic medical system,effective methods for information retrieval and identification are essential. This research intends to design a deep learning-based model employing Convolutional Neural Networks (CNNs) for the real-time identification of medicinal plants. The project strives to create an accessible and user-friendly platform. that not only identifies plants through image recognition but also provides comprehensive information about various Ayurvedic botanicals. In addition to plant identification, the system features a knowledge base that offers detailed insights into the properties and uses of these plants. An integrated e-commerce component allows users to purchase Ayurvedic products directly, enhancing accessibility to herbal remedies. By utilizing deep learning techniques, our project seeks to enhance Ayurvedic research, ensuring easy access to valuable information and products while encouraging the use of medicinal plants in holistic health practices. |
| Keywords: | Plant information retrieval, Medicinal plant identification, Deep learning, Convolutional Neural Networks (CNN), E- commerce, Ayurvedic products. |
| Cite Article: | "Neural Intelligence in Ayurveda: A Deep Learning-Driven Ecosystem for Herbal Discovery and Trade", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b601-b612, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504175.pdf |
| Downloads: | 000327 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2504175
Registration ID:202648
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44893
Page No: b601-b612 Country: Mumbai, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504175 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504175 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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