Affiliation:
1. Anjalai Ammal Mahalingam Engineering College, Thiruvarur, Tamil Nadu, India
Abstract
In India, a wide variety of monuments and literal spots are dispersed throughout the nation, artistic heritage protection has lately gained significance. This study introduces a web operation for monument discovery powered by SUPPORT VECTOR MACHINE (SVM) that provides a variety of rudiments that will prop in guarding India’s artistic heritage. SVM are used by the website as the deep literacy technology to precisely fete and classify monuments grounded on photos that stoner’s input. It also provides a number of helpful features, similar as original information like tabernacle, culture and other information for druggies at the monument point. When visiting literal places, these aspects help to give guests a more thorough and immersive experience. The issues demonstrate how effective the SVM- grounded web operation is at classifying monuments. A sizable collection of images of notorious spots in India were used to test the proposed system. The system may be used for artistic preservation, tourism, and education.