BookNexus
Efficient information retrieval and personalized learning have become essential aspects of modern digital education systems. BookNexus: AI-Powered Library is designed to enhance the process of book discovery and knowledge access through advanced artificial intelligence techniques. The system employs semantic search combined with Retrieval-Augmented Generation (RAG) to deliver contextually relevant results, improving search precision beyond traditional keyword-based methods. It further personalizes user experiences by analyzing reading behavior and interest patterns to recommend suitable materials. To maintain credibility, integrated modules detect spam and fake reviews, ensuring authenticity in user- generated content. Face recognition is implemented for secure and seamless access, while offline voice search enables accessibility across varied environments. Interactive dashboards provide dynamic insights for both users and administrators. Developed using Django, ARC Face, and contemporary web technologies, BookNexus demonstrates the potential of AI-driven digital libraries to transform information management and personalized learning in the modern era.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-07
- DOI
- https://doi.org/10.5281/zenodo.17550066
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00