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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
π DOI: https://doi.org/10.63920/tjths.52033
π Keywords: Artificial Intelligence, Bookmark Management, Web Application, Content Organization, Next.js, Fast API, Machine Learning, Data Management
π Publication Date: 26 April 2026
π License:
This work is licensed under a Creative Commons Attribution 4.0 International License
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- 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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π 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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