CLUB-LIT: Real-Time AI-Powered Literary Community Platform

  • Unique Paper ID: 187819
  • Volume: 12
  • Issue: 6
  • PageNo: 6468-6472
  • Abstract:
  • Club-Lit is an innovative full-stack MERN (MongoDB, Express.js, React.js, Node.js) platform that integrates hybrid AI-driven recommendation with real-time social features to transform digital reading into an engaging, collaborative experience. The system employs a combined collaborative-filtering and content-based recommendation engine to personalize suggestions (addressing cold-start issues), and supports virtual book clubs with WebSocket-powered live chat and discussion forums. Secure JWT-based authentication and a cloud-hosted architecture ensure scalability and safety. Empirical evaluation shows ~45% improvement in recommendation accuracy and a 81% increase in user retention for community participation. Key innovations include a multi-layer LLM “BookBuddy” agent that uses Retrieval-Augmented Generation (RAG) to answer user queries and guide navigation, accelerated via Groq’s AI hardware.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{187819,
        author = {Tejas V and Mohammed Awaiz and Yashwanth S and Ganashree},
        title = {CLUB-LIT: Real-Time AI-Powered Literary Community Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6468-6472},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187819},
        abstract = {Club-Lit is an innovative full-stack MERN (MongoDB, Express.js, React.js, Node.js) platform that integrates hybrid AI-driven recommendation with real-time social features to transform digital reading into an engaging, collaborative experience. The system employs a combined collaborative-filtering and content-based recommendation engine to personalize suggestions (addressing cold-start issues), and supports virtual book clubs with WebSocket-powered live chat and discussion forums. Secure JWT-based authentication and a cloud-hosted architecture ensure scalability and safety. Empirical evaluation shows ~45% improvement in recommendation accuracy and a 81% increase in user retention for community participation. Key innovations include a multi-layer LLM “BookBuddy” agent that uses Retrieval-Augmented Generation (RAG) to answer user queries and guide navigation, accelerated via Groq’s AI hardware.},
        keywords = {digital reading, recommendation system, WebSockets, JSON Web Token, RAG, AI agents, MERN stack.},
        month = {November},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 6
  • PageNo: 6468-6472

CLUB-LIT: Real-Time AI-Powered Literary Community Platform

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