Abstract: The increasing reliance on artificial intelligence (AI) for ground breaking medical advancements has led to innovative solutions in botanical medicine. "Botanic Cure: AI-Driven Medicinal Leaf Analysis" represents a pioneering approach to identifying and analysing medicinal properties in leaves using AI technologies. This study harnesses machine learning algorithms to extract, classify, and evaluate bioactive compounds within various plant leaves, aiming to streamline the discovery of new medicinal agents and enhance therapeutic efficacy. By integrating AI with traditional botanic practices, this research demonstrates significant potential in revolutionizing pharmaceutical development, providing an efficient pathway for discovering novel treatments for a wide array of diseases. Key findings reveal the accuracy and speed of AI in medicinal leaf analysis, promising substantial contributions to the field of herbal medicine and pharmacognosy.
Keywords: Leaf identification, Medicinal properties, Plant species, Herbal medicine, Image recognition, Plant database, Xception
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DOI:
10.17148/IJARCCE.2025.145114
