Tag-Driven File Management System

The search for files is an essential task in the daily lives of computer users. Still, conventional systems can be inefficient, especially when dealing with large amounts of files, leading to wasted time and reduced productivity. This work proposes a Tag-Driven File Management System (TFMS) as an alternative to optimize file organization and retrieval, enabling contextual searches and dynamic categorization. The application was designed with an emphasis on performance, created as a fast and secure desktop application that utilizes a database to store the tags associated with the files, while a caching system enhances directory loading efficiency. Additionally, artificial intelligence models were integrated to suggest tags automatically, enhancing the user experience. The results show that TFMS demonstrated superior efficiency compared to traditional methods, significantly reducing file search time. The comparison with conventional systems validates the effectiveness of the tag-based approach, positioning TFMS as a promising solution for file management.