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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53279
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
10/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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