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dc.contributor.authorSenevirathne, PJ
dc.contributor.authorVidanagama, DU
dc.date.accessioned2020-12-31T23:06:46Z
dc.date.available2020-12-31T23:06:46Z
dc.date.issued2020
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/3033
dc.description.abstractAncient artifacts of Sri Lanka are used as major sources of getting historical information about Sri Lanka. Acquiring the necessary information about those artifacts become a huge challenge for the visitant of artifacts. Text based search engines are typically used to retrieve information about ancient artifacts of Sri Lanka. These systems require the user to formulate a text query that provides information such as the place, where the object is placed or where does that can be found, what is the century object belonged. Oppositely visual search systems can be used. They provide information to users of the system such as scholars, tourists, local explores in a most intuitive and immediate way by using an image as a query. This research involves in developing a chat application along with Convolutional Neural Networks for image recognition of ancient artifacts. The image recognition model will be a part of the chat bot that has ability to retrieve more information about recognized images. Convolutional Neural Networks, Recurrent Neural Network, TensorFlow, Keras have been used as core technologies in this research project. As the research involves in developing a chat application with image recognition capabilities, the application will improve the knowledge sharing of Sri Lankan ancient legacy to the word in an effective way.en_US
dc.language.isoenen_US
dc.subjectChatboten_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectAncient Artifactsen_US
dc.subjectLSTMen_US
dc.titleIMAGIBOT – An Image Recognition Chatbot for Sri Lankan Ancient Placesen_US
dc.typeArticle Full Texten_US
dc.identifier.journal13th International Research Conference General Sir John Kotelawala Defence Universityen_US
dc.identifier.pgnos418-426en_US


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