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@article{193739,
        author = {Dr. C Siva Balaji Yadav and R Dharani and P Durga Prasad and Sangaraju Kavya Priya and S Mohammed Hassain Ahmed and M Aravind},
        title = {A Deep Learning And Augmented Reality Framework For Automated Monument Recognition And Visualization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2173-2180},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193739},
        abstract = {Historical landmark detection is a thrilling and very difficult task to study in the context of image classification by combining monument recognition with Augmented Reality (AR). The goal is to create an Android-based application that combines the accuracy of deep learning with the immersion provided by AR, which will provide users with an entertaining and educational experience when learning about heritage locations. Training the model with a variety of data on images of monuments will enable the system to conduct reliable real-time recognition and classification. This trained model is the engine of the Android application that allows users to just aim their phone camera on a monument and then it gives them the identification of the monument along with the historic background of the monument. Users have an option to take up live pictures using the mobile camera or use pictures in their gallery. This virtual experience comprises of informative storytelling about the monument, multimedia functionalities in the form of live map positioning, AR based graphics, and 3D models which have been effectively used to recreate historical settings. In general, the combination of CNNs and AR does not only enhance the discovery of historical sites but also expands the reach towards achieving cultural heritage since it is now more interactive, informative, and accessible to people.},
        keywords = {Deep Learning, Convolutional Neural Networks (CNN), VGG16, SVM, LSTM, Augmented Reality.},
        month = {March},
        }