Article’s

The evolution of digital learning environments requires library systems that move beyond basic catalog automation toward intelligent, user-centric ecosystems. This research introduces an Intelligent E-Library Ecosystem developed as a Progressive Web Application (PWA) to enhance accessibility, automation, and operational transparency within academic institutions. The proposed system incorporates several advanced features that are rarely unified within conventional library platforms, including a formalized lost-book reporting workflow, real-time seat reservation management, automated due-date reminders, an integrated online PDF reader, a centralized digital notice board, predictive borrower risk analysis, and scheduled email notification services. A secure dual-portal architecture separates administrative control from student interaction, ensuring structured access management and data integrity. A Python–Flask-based machine learning microservice performs behavioral risk assessment to support proactive decisionmaking. Offline functionality is enabled through Service Worker implementation, ensuring continuity of access in low-connectivity environments. Experimental validation demonstrates improvements in process efficiency, user engagement, monitoring accuracy, and administrative responsiveness when compared to traditional manual and semi-digital library systems. Index Terms—Library Automation, Progressive Web App (PWA), Machine Learning, E-book Management, Late Fee Calculation, Lost Book Claim, Role-Based Access Control, Notice Board.