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The research presents a deep learning-based system for Ayurvedic plant identification and therapeutic recommendations, addressing the limitations of traditional methods. It integrates multi-organ data acquisition, EfficientNet-B0 for plant recognition, and a RAG-based chatbot for context-aware guidance, achieving high accuracy and explainability. Future work aims to expand datasets and enhance multilingual support to further improve the system

Author

rao.chandni

Language

EN