A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems

Artificial intelligence (AI) is a disruptive force that increases productivity and provides innovative solutions to difficult issues in many sectors. When it comes to natural remedies and healthcare, artificial intelligence has particularly fascinating possibilities. This project intends to create a system that integrates artificial intelligence, natural language processing, and image recognition to create a powerful tool for Medicinal Plant Identification and to answer related queries. AI’s capacity to enable precise identification and provide insightful information about the wide range of natural therapeutic uses makes it important to incorporate it into the field of medicinal plants. Since medicinal plants have been utilized for their curative qualities for ages in many cultures, artificial intelligence (AI) adds a new perspective by offering a methodical and cutting-edge scientific approach to their identification and applications. The proposed system produces a reliable resource for identifying medicinal plants through the use of deep learning models, called vision transformers (ViT) for image recognition and has achieved a high accuracy of 99% providing an efficient and optimal result. Additionally, this approach enables users to get comprehensive information about the therapeutic properties of plants through the ChatBot developed using a pre-trained Large Language Model (LLMs) upon custom data. This concept acknowledges the necessity for individualized information beyond simple identification and guarantees users to engage in meaningful conversations about certain plants and their medical advantages. This holistic approach automates the process of identification and enables a way to understand the natural medical qualities of the plants.