Streamlined Ayurvedic Species Detection Using VGG16 and Neural Networks Chatbot Integration

In response to the growing need for enhanced medicinal herbs for various diseases and medicines have a vital role in in maintaining both the physical and psychological well-being of individuals The proper identification and categorization of plants with medicinal properties are essential for better treatment. The medical Plant Classification System presented in this project addresses the need for an efficient and accurate method of identifying and categorizing medicinal plants within the context of Ayurvedic medicine. Leveraging advanced machine learning techniques, specifically convolutional neural networks (CNNs), the system employs a robust model trained on a diverse dataset of medicinal plants. Furthermore, a chatbot component using NLP technology, interacts with users to provide information about the varied realm of medicinal plants. This chatbot feature, driven by NLP algorithms, facilitates dialogue and offers knowledge on the diverse world of plants used for medicinal purposes.