Abstract: This project presents a cutting-edge e-library system driven by AI that aims to update how consumers engage with digital information. The system seeks to provide a more customized and interesting reading experience by using cutting-edge technology including text-to-speech capabilities, machine learning, artificial intelligence, and natural language processing. Features like AI-generated summaries for speedy content review, tailored book suggestions based on reading history, and a text-to-audio tool to make books accessible to visually impaired users are all available to users. In addition to offering a smooth borrowing and return procedure with automatic due date monitoring, the portal lets users search for books by title, author, ISBN, or category. To enhance library operations, the administrative console provides library managers with an effective means of managing material, monitoring user activity, and producing reports. A rising user base and a developing content library may be accommodated by the system without affecting performance because it was developed with scalability in mind. A safe and secure user experience is ensured with a strong emphasis on security, with user data encrypted and safeguarded in accordance with privacy regulations such as GDPR. When it comes to improving the traditional library experience, our AI-powered e-library system provides a complete and flexible answer. Setting a new benchmark for digital libraries and advancing knowledge management in the digital era, its dynamic features, strong security features, and accessibility-focused approach make it an interesting and useful tool for administrators and users alike.

Keywords: AI, e-library, recommendation system, summarization, sentiment analysis, personalization.

Downloads: | DOI: 10.17148/IARJSET.2025.12834