A DEEP LEARNING-BASED REAL-TIME WEB APPLICATION FOR MEDICINAL PLANT IDENTIFICATION AND USAGE AWARENESS

Computer Engineering

Medicinal plants have been a source of healing and wellness for centuries, yet many people today lack awareness of these valuable natural resources and their potential uses. Identifying medicinal plants can be a challenging and time-consuming task, often requiring expert knowledge. Our web application transcends mere identification; it serves as an inclusive platform, not only revealing the plants' identities but also shedding light on their historical, cultural, and contemporary applications. In this project, we introduce a novel approach to address this issue by developing a real-time web application powered by deep learning. real-time web application leverages the capabilities of deep learning to provide instantaneous and accurate results for various tasks, from image recognition to data analysis. Powered by advanced neural networks, it offers users a seamless and efficient experience, making complex tasks feel effortless. Our system is designed to identify medicinal plants and provide information about their uses in real-time. To tackle this challenge, we introduce a pioneering solution: specifically, Convolutional Neural Networks (CNN) in image recognition and data analysis. The purpose of this web application is to make valuable information about medicinal plants more accessible to the general public. Beyond mere identification, our web application goes a step further by offering insightful awareness of usage. For each recognized plant, users receive detailed information about its botanical classification, medicinal properties, historical uses, preparation methods, and potential side effects or precautions. This comprehensive knowledge empowers individuals to make informed decisions about the utilization of medicinal plants for various health and wellness purposes. This project aims to bridge the knowledge gap surrounding medicinal plants, making this valuable information more accessible to the general public.

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