Phytosense: Cultivating Trust Origins with AI

The authentication of medicinal plants is crucial for ensuring the integrity of the pharmaceutical supply chain. This paper presents a novel approach utilizing machine learning for the identification of medicinal plants to enhance authenticity and supply chain integrity. Our proposed software leverages advanced image processing techniques to analyze plant images. Identify key features indicative of specific species. Through a comprehensive literature. Review, we explore the existing methodologies and limitations in this domain. We then introduce our system architecture, detailing the frontend and backend components, application logic, and storage mechanisms. The core of our approach lies in the development of an efficient algorithm, which we discuss along with its advantages, disadvantages, and potential alternatives. Additionally, we outline the various modules comprising our software and their functionalities. Finally, we conclude by discussing the implications of our work and suggesting avenues for future research and development.