Dublin Core
Title
Travel Souvenir
Abstract
This project addresses the common problem of disorganized digital travel photos by developing a mobile application to automatically curate and enrich them with geographical and informational context. The primary objective was to create a "digital souvenir" experience that goes beyond simple photo storage.
The "Travel Souvenir" application was built for the Android platform using a modern, modular architecture designed for stability and scalability. The methodology involved integrating a secure cloud backend for user management, real-time data synchronization, and media storage. The app utilizes the device's built-in location services for automatic city categorization, an on-device machine learning model for real-time landmark recognition, and external data APIs to add descriptive context to each souvenir.
The result is a fully functional application where user photos are automatically organized into location-based albums. The app successfully syncs data across devices and includes features such as a public feed for shared albums, personal note-taking, and AI-powered landmark identification. The project concludes that by integrating modern mobile and cloud technologies, it is possible to create an engaging and automated solution to the challenge of preserving digital travel memories.
The "Travel Souvenir" application was built for the Android platform using a modern, modular architecture designed for stability and scalability. The methodology involved integrating a secure cloud backend for user management, real-time data synchronization, and media storage. The app utilizes the device's built-in location services for automatic city categorization, an on-device machine learning model for real-time landmark recognition, and external data APIs to add descriptive context to each souvenir.
The result is a fully functional application where user photos are automatically organized into location-based albums. The app successfully syncs data across devices and includes features such as a public feed for shared albums, personal note-taking, and AI-powered landmark identification. The project concludes that by integrating modern mobile and cloud technologies, it is possible to create an engaging and automated solution to the challenge of preserving digital travel memories.
Keywords
travel application, photo organization, digital journaling, location-based services, landmark recognition, machine learning, cloud sync