Ayurveda medicines are critical to enhance both the health of the body and the mind of people. The purpose of this is to obtain vast research on native Ayurvedic medicinal plants. This proposed work has social relevance, as the need was identified among doctors, pharmacists, the government, and the general population. Finding some of the species may have seriously positive feedback on the field of chemistry and other connected sciences. To achieve this, convolutional neural networks (CNNs) are used for plant classification. GANs in situations of data enhancement assist in creating artificial new data. Microscopy imaging is used to capture images at multiple scales, reducing the limitations of feature extraction. Furthermore, the classification method can be described as a thermal technique used in classification for simulating focal points in addition to incorporating a text-to-speech function for enhancing the user interface aspect of the system.