HERITAGE IDENTIFICATION OF MONUMENTS

HERITAGE IDENTIFICATION OF MONUMENTS

Atharva Ravindra Chonkar, Shubham Rajesh Giri, Shubham Deepak Shirsat, Ganesh Gopal Reddy Guntaka, Surekha Khot

Information Technology
A.C. Patil College of Engineering Navi
Mumbai, Kharghar

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

Keywords - Monument identification, Computer vision, Deep     learning,     Convolutional     Neural     Networks, Historical context, Mobile application, Machine learning