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Ayurvedic Plant Identification using Image Processing and Artificial Intelligence

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dc.contributor.author Mohamed Siddeek, Mohamed
dc.date.accessioned 2024-04-24T09:56:26Z
dc.date.available 2024-04-24T09:56:26Z
dc.date.issued 2023
dc.identifier.citation Mohamed Siddeek , Mohamed (2023) Ayurvedic Plant Identification using Image Processing and Artificial Intelligence. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019434
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2050
dc.description.abstract "The Ayurvedic medicine, known for its rich heritage and holistic healing approach, hinges on the accurate identification and understanding of various medicinal plants. This identification, however, can be challenging for many, particularly those without extensive knowledge in botany. To bridge this knowledge gap, the Ayurvedic Plant Identification and Utility Mobile Application has been developed. This innovative application, leveraging advanced deep learning techniques, is programmed not only to accurately identify images of plants but also to provide useful information about their Ayurvedic plants. This amalgamation of artificial intelligence and the profound wisdom of Ayurveda marks a significant stride in the field. The application is designed with an intuitive user interface, ensuring ease of use for a wide spectrum of users. It employs a rigorously tested and validated deep learning model, guaranteeing precise plant identification and relevant Ayurvedic usage information. The Ayurvedic Plant Identification and Utility Mobile Application democratizes access to critical information about medicinal plants, making Ayurveda more accessible to practitioners, students, and enthusiasts. This convenience enhances the user's ability to accurately identify and understand the medicinal applications of different plants. This application is set to revolutionize the domain, seamlessly marrying cutting- edge technology and the ancient wisdom of Ayurvedic medicine. By enhancing knowledge accessibility and understanding, it plays a significant role in promoting the growth and propagation of Ayurveda in the modern world." en_US
dc.language.iso en en_US
dc.subject Ayurveda en_US
dc.subject Plant Identification en_US
dc.subject Deep Learning en_US
dc.subject Mobile Application en_US
dc.title Ayurvedic Plant Identification using Image Processing and Artificial Intelligence en_US
dc.type Thesis en_US


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