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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53279

PlantMitra: An Intelligent Platform for Medicinal Plant Detection and Benefit Analysis

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53279

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53279

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DRK

Dr. Rupinder Kaur

VD

Vaibhav Dewan

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Abstract

The AYUSH sector forms a vital part of India’s healthcare system, with medicinal plants serving as the foundation of traditional medicine. To enhance accessibility and awareness, we propose PlantMitra, an interactive knowledge platform that integrates 3D visualization, multilingual and text-to-speech support, multimedia content, and AYUSH-based health remedy recommendations. The system also incorporates a deep learning-based plant image classifier using the Xception architecture pre-trained on ImageNet, achieving a test accuracy of around 98% on the Indian Medicinal Leaves Image Dataset across seven plant species. By combining high-accuracy automated classification with culturally significant knowledge dissemination, PlantMitra addresses the limitations of fragmented digital resources and aligns with the National AYUSH Mission. This demonstrates the potential of AI-driven, user-centric platforms in preserving, promoting, and applying traditional medicinal knowledge within modern healthcare ecosystems.

KEYWORDS

AYUSH Medicinal Plants Interactive Platform Deep Learning Plant Classification Xception Herbal Remedies Artificial Intelligence in Healthcare

Cite This Article

Dr. Rupinder Kaur, Vaibhav Dewan, "PlantMitra: An Intelligent Platform for Medicinal Plant Detection and Benefit Analysis," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025. https://doi.org/10.55041/IJSREM53279

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Publication Date

10/29/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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