ALBULARYO: Advanced Learning for Botanical Understanding, Leveraging Artificial Recognition using Convolutional Neural Networks

Johani D. Basaula; David Austin L. Aguilar; Charletsone Maru; Jireh Joshua Pablo; Katsuya Shiong Suzuki; Arnel Balasta 1

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Publication Date: 2024/06/19

Abstract: This study aims to develop and implement an herbal medicine scanner. HerbID, with its approach, has sparked a growing interest in remedies for their healing properties in today's world. This state of the art technology introduces an identification system that is reshaping how we engage with medicine. By combining a repository of solutions, with advanced scanning capabilities HerbID ensures a seamless user experience. Through a scan users can precisely recognize herbs empowering them to make informed choices regarding their health and overall wellness. HerbID offers more than identifying herbs – it offers in depth insights into the benefits, potential advantages and usage tips for each herb. With HerbID you can gain the knowledge and confidence to make the most of medicine whether you're a beginner or well versed in natural healing practices. Explore a range of remedies, with HerbID your go to herbal medicine companion.

Keywords: No Keywords Available

DOI: https://doi.org/10.38124/ijisrt/IJISRT24MAY2456

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24MAY2456.pdf

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