HERITAGE IDENTIFICATION OF MONUMENTS

The goal of the Heritage Identification Monuments project is to create an automated system for recognition and classification historical sites. project's main preserve maintain rich cultural heritage world, which comprises a variety structures monuments. Convolutional Neural Networks (CNNs), one most advanced deep learning techniques, will be used in this research extract features representations various monuments from big dataset photographs. Then, depending on their qualities, such as architectural style, location, context, these utilized train machine models identify categorize particular A mobile application that enable users upload pictures access details about significance also developed part project. smartphone classify supplied photographs provide recognized using machine- models. By creating identification categorization computer vision overall wants contribute preservation promotion world's heritage. Keywords - Monument identification, Computer vision, Deep learning, Networks, Historical Mobile application, Machine