TEJAS Journal of Technologies and Humanitarian Science

ISSN : 2583-5599

Open Access | Quarterly | Peer Reviewed Journal


Cur8t: AI-Powered Bookmark Management System with Smart Organization


Puneet Prajapati

Scholar, Department of Computer Science & Engineering, (AI&ML), KIPM College of Engineering and Technology, U.P., India

Mohd. Amaan

Scholar, Department of Computer Science & Engineering, (AI&ML), KIPM College of Engineering and Technology, U.P., India

Aman Singh

Scholar, Department of Computer Science & Engineering, (AI&ML), KIPM College of Engineering and Technology, U.P., India

Suryansh Sharma

Scholar, Department of Computer Science & Engineering, (AI&ML), KIPM College of Engineering and Technology, U.P., India

Prachi Yadav

Assistant Professor, Department of Computer Science and Engineering, (AI&ML), KIPM College of Engineering and Technology, U.P., India


πŸ“Œ DOI: https://doi.org/10.63920/tjths.52033

πŸ”‘ Keywords: Artificial Intelligence, Bookmark Management, Web Application, Content Organization, Next.js, Fast API, Machine Learning, Data Management

πŸ“… Publication Date: 26 April 2026

πŸ“œ License:

  • Share β€” Copy and Redistribute the material
  • Adapt β€” Remix, Transform, and build upon the material
  • The licensor cannot revoke these freedoms as long as you follow the license terms.

Abstract:

The rapid growth of internet usage and digital content has significantly changed how individuals interact with information. Users engage with various online resources such as articles, tutorials, research papers, and videos. However, managing and organizing this vast amount of information has become a major challenge. Traditional bookmark systems provide basic link-saving features but lack intelligent organization, contextual understanding, and personalized support, making information retrieval difficult. With the advancement of Artificial Intelligence (AI) and machine learning, new opportunities have emerged to improve digital content management. AI enables systems to analyze user behavior, understand content, and provide smart recommendations. This helps overcome the limitations of traditional bookmark systems, where manual organization is time-consuming and inefficient. This paper introduces Cur8t, an AI-powered bookmark management platform designed to provide intelligent organization, automation, and personalized content management. The system automatically categorizes bookmarks based on content and user preferences while offering relevant recommendations to enhance content discovery. This reduces manual effort and improves accessibility.Cur8t is built using modern technologies to ensure scalability and performance. The frontend uses Next.js and React for an interactive interface, while the backend is developed with FastAPI for efficient API handling. PostgreSQL is used for data storage, and integrations with OpenAI and GitHub enable intelligent content analysis and secure data management.The platform also includes features such as a browser extension for one-click bookmarking, real-time synchronization across devices, and support for public and private collections. These features make it suitable for students, researchers, developers, and professionals.

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πŸ“– How to Cite

Khushi Y., Prince K., Annapurna P., Akarsh Y. (2026). Cur8t: AI-Powered Bookmark Management System with Smart Organization. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52033

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