AAYURSCAN: Medicinal Plant Identifier

Abstract

India, renowned for its diverse flora and as the epicentre of Ayurveda, faces challenges in accurately identifying medicinal plants. This hinders the pharmaceutical industry's access to authentic raw materials, leading to adulteration and substitution. To address this issue, we propose a comprehensive research project comprising model training, web development, and app development. The project aims to develop an application empowered by machine learning algorithms to classify medicinal plants based on leaf images. The model distinguishes medicinal and non-medicinal plants through categorical classification, providing detailed reports on uses and essential information. Additional features such as 'FloraSpot' and 'Healthify' enhance user engagement and promote plant-based healthcare solutions. This research endeavours to bridge the gap between traditional knowledge and modern technology, facilitating the sustainable utilization of medicinal plants in healthcare practices. This research project aims to develop an application capable of identifying medicinal plants through an ML algorithm.