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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68360
Volume:
10 |
10 |
Oct 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Dept Of Information Technology
Sri Shakthi Institute Of Engineering And Technology
Dept Of Information Technology
Sri Shakthi Institute Of Engineering And Technology
Dept Of Information Technology
Sri Shakthi Institute Of Engineering And Technology
Dept Of Information Technology
Sri Shakthi Institute Of Engineering And Technology
Dept Of Information Technology
Sri Shakthi Institute Of Engineering And Technology
Digital book discovery is often fragmented across online marketplaces, author websites, publisher platforms, and literary event directories. This paper presents Lumina Book AI, an artificial intelligence-powered literary discovery and reading ecosystem designed to enhance book exploration, purchasing, and author visibility. The proposed platform integrates mood-based book discovery, semantic search, personalized recommendations, and a conversational AI reading assistant to help readers identify books based on their interests and preferences. It also provides forthcoming book recommendations, dedicated author and publisher profiles, external purchasing links, map-based bookstore discovery, and information about upcoming book fairs and literary expos. By connecting readers with books, authors, publishers, and literary events through a unified interface, the system aims to improve content discoverability and encourage engagement with reading culture. The proposed approach emphasizes reliable catalogue information, transparent release details, and responsible AI-assisted recommendations. Lumina Book AI seeks to transform conventional online book browsing into an intelligent, personalized, and community-oriented literary experience while creating greater digital visibility for emerging authors and publishing communities.
KEYWORDS
LuminaBook AI is proposed as an intelligent literary discovery and author empowerment ecosystem that brings together mood-based search, semantic discovery, a conversational reading assistant, personalized recommendations, forthcoming-release awareness, book purchasing pathways, author and publisher profiles, map-based shop discovery, and literary event navigation. Its defining ambition is to make books easier to discover while giving authors, publishers, bookshops, and literary gatherings a more connected place in the reader’s journey. By combining responsible AI assistance with structured and verifiable information, the platform can support a richer and more inclusive digital reading culture. Future work should focus on validating the AI features, improving catalogue and event integrations, protecting user data, and assessing the platform with readers and literary stakeholders.
1. Ricci, F., Rokach, L., Shapira, B. (eds.): Recommender Systems Handbook. 3rd edn. Springer, Cham (2022) 2. Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering 17(6) (2005) 734–749 3. Jannach, D., Zanker, M., Felfernig, A., Friedrich, G.: Recommender Systems: An Introduction. Cambridge University Press, Cambridge (2010) 4. Open Library: Open Library APIs: Book and Author Catalogue Data. Available: https://openlibrary.org/developers/api 5. Google: Gemini API Documentation. Google AI for Developers. Available: https://ai.google.dev/gemini-api/docs 6. Google Maps Platform: Developer Documentation. Available: https://developers.google.com/maps/documentation
Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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