Deep Learning-Driven Mobile Application for E-tourism

Mobile tourism applications have gained massive popularity, offering various services such as booking accommodations, navigating unfamiliar locations, and providing travel recommendations. These applications have revolutionized travel planning, making it easier and more convenient for tourists in smart cities. This work aims to enhance the tourist appeal of Morocco’s historical regions by developing a mobile application called E-Tourism, which leverages computer vision technology for historical site recognition in smart cities. The proposed application provides detailed descriptions and historical context for various heritage sites. Moreover, it utilizes a pre-trained lightweight neural network model to accurately recognize and provide information about historical landmarks, even when GPS fails to pinpoint users’ locations precisely. Users can scan landmarks with their device’s camera, and the application will display relevant information, enriching their visit with an educational experience.