LANDMARK AND TOURIST PLACE RECOGNITION SYSTEM USING DEEP LEARNING

Landmark recognition has become increasingly important in modern tourism applications, where travelers frequently rely on digital platforms to identify and explore new locations.This paper presents an automated Landmark and Tourist Place Recognition System using deep learning techniques, specifically a VGG16-based Convolutional Neural Network (CNN).A custom dataset of popular global and Indian landmarks was used to train the model.The trained model is integrated with a Flask-based web application that allows users to upload an image and instantly receive landmark identification results along with detailed information retrieved from a backend database.Additional functionalities-including multilingual support, text-to-speech, Google Maps integration, feedback submission, and wishlist management-enhance user accessibility and engagement.The proposed system demonstrates high accuracy and provides an efficient and interactive platform for travelers seeking quick recognition and information about tourist places.