Abstract

An essential component of this age-old medicinal approach is the identification of ayurvedic plant leaves. It helps to preserve medicinal plants and guarantees the security and effectiveness of treatments. Ayurvedic plant leaf identification will become increasingly important as more people resort to alternative and natural medicines. Machine learning-based Ayurvedic plant leaf identification is a novel technique that could completely change Ayurvedic medicine practices. Accurately identifying and categorising plant species can aid in improved disease control and treatment. To overcome these obstacles and guarantee the precision and dependability of the outcomes, more research and development in this area is necessary. Ayurveda has the potential to flourish and support individuals in leading healthier, more balanced lives by combining ancient knowledge with modern technologies. An important step towards updating this antiquated medical system is the use of CNNs for Ayurvedic plant leaf identification. It encourages the use of conventional medicinal herbs while also facilitating a quicker and more precise identification process. It is anticipated that CNN accuracy in detecting leaves from medicinal plants will only increase with additional technological improvements and the availability of high-quality photos. There is no doubt that this will help the Ayurvedic community and help to preserve this important knowledge for upcoming generations. Here we work on Realtime images.