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dc.contributor.author Ud Deen, Kahaja Nazeeb
dc.date.accessioned 2025-05-23T03:56:59Z
dc.date.available 2025-05-23T03:56:59Z
dc.date.issued 2024
dc.identifier.citation Ud Deen, Kahaja Nazeeb (2024) Virgin Aquatic. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019567
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2353
dc.description.abstract "Virgin Aquatic uses cutting-edge technologies like AI chatbots and machine learning to revolutionise the maintenance of freshwater aquariums. Accurate fish species identification, species compatibility, maintaining ideal tank conditions, managing diseases, and appropriate feeding techniques are common challenges faced by aquarium hobbyists, which can cause stress and health problems for aquatic life. Virgin Aquatic uses AI chatbots to diagnose fish diseases and provide remedies, as well as machine learning algorithms to identify fish species accurately from photos. By offering individualised care advice on tank settings, compatible tank mates, feeding methods, and illness prevention, these technologies improve the health and lifespan of aquarium occupants. A user-friendly design that incorporates a complete blog with professional insights, species information, and best practices for managing freshwater aquariums is at the heart of Virgin Aquatic's innovation. The website seeks to provide easily available information and resources to aquarium hobbyists, encouraging responsible decision-making and environmentally friendly behaviour. Virgin Aquatic aims to raise the bar for improving the success and enjoyment of owning a freshwater aquarium by using strict project management techniques and ongoing development based on customer feedback." en_US
dc.language.iso en en_US
dc.subject Aquarium en_US
dc.subject Fresh-water Fish en_US
dc.subject Image Classification en_US
dc.title Virgin Aquatic en_US
dc.type Thesis en_US


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