The growing interest in herbal medicine and natural remedies has made the demand for a rapid and precise system for identifying medicinal plants essential. The Orgikart Herbal Plant Identification and Recommendation System employs machine learning and image processing techniques to recognize herbal plants from images and suggest them based on their medicinal characteristics. The system is created to assist researchers, herbalists, and general users in identifying plants quickly using mobile or web-based applications. Using a trained dataset of herbal plants, the system can recognize different species and recommend their uses, benefits, and potential applications. The recommendation system also suggests the most suitable herbal plants for certain diseases or health ailments, offering users personalized suggestions. This project contributes to the herbal medicine field using contemporary technology and traditional knowledge of plants, proposing an innovative application for plant identification and medicinal suggestions.
Plant Identification, Image Processing and Deep Learning, CNN, NLP, SVM (Support Vector Machine), KNN (K-Nearest Neighbors)
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