Extraction of Ayurveda Herbs and Benefit Using Deep Learning Algorithms

Project Code :TCMAPY622

Objective

In proposed method we are performing the classification of either the using AYURVEDA HERBS & BENEFITS images using Convolution Neural Network (CNN) of deep learning along with the Transfer learning methods.

Abstract

Ayurveda, Yoga, Unani, Siddha, and Homeopathy are some of India's traditional medicinal systems. Ayurveda is effective in healing ailments without causing adverse effects. Medicinal plants or herbs are regarded as a valuable resource for satisfying people's health-care needs. It is necessary to preserve and digitise information regarding this therapeutic knowledge. In the form of unstructured textual data, there have been a huge number of publications and articles on Ayurveda research. Text mining is utilised to provide a solution for dealing with such large amounts of unstructured data. With the exponential growth of text-based data, finding the necessary information has become a difficult challenge. The ability to understand the semantics of document content is essential for assuring the quality of content retrieval. However, current approaches are discovering variations in textual categorization in order to improve classification accuracy, which may result in a failure to comprehend data during classification. As a result, an effective model for searching, classifying, and retrieving the most relevant data is necessary.

Keywords: Ayurveda Herbs Images and details, Deep Learning, CNN, Densent121, Resnet50, Mobile Net

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