DRAV-AI : An AI-Based Medicinal Plant Identification and Ayurvedic Wellness Recommendation System

The integration of Artificial Intelligence (AI) into the field of Ayurvedic Science has gained considerable attention in recent years. With the increasing demand for holistic well-being and alternative healing practices, there has been a surge in innovative approaches to integrating technology in this sector. This innovative framework unites AI-driven image classification, health-focused chat interaction, and ancient Ayurvedic knowledge to deliver an intelligent plant identification and symptom-remedy guidance system. A ResNet50 convolutional neural network, fine-tuned via transfer learning, is employed to accurately classify medicinal plants from a labeled dataset, enhanced through preprocessing and augmentation. Upon plant identification, a generative AI model provides detailed therapeutic insights, including the plant's bioactive compounds and Ayurvedic uses. The integrated chatbot further enables users to input symptoms and receive contextually relevant Ayurvedic remedies sourced from a curated symptom-remedy database. This system not only bridges modern AI technology with ancient healing practices but also empowers users with accessible, personalized, and holistic health guidance.