Smart Library Management System

The traditional management systems used in libraries are often characterized by manual data entry, slow transaction times, and a lack of analytical capability, leading to resource wastage and degraded user experience. This project presents the design and implementation of a SMART Library Management System—a holistic solution that integrates hardware, software, and machine learning components to automate operations and introduce intelligence. The system utilizes an RFID Scanner-Module (MFRC522, ESP-8266) for real-time, contact-less book/user transactions, which communicates via a robust API to a Django/Python Web Application backed by a MySQL Database. Furthermore, an integrated MLModel leverages transaction history for data-driven insights, such as personalized book recommendations. The successful implementation demonstrates significant improvements in operational efficiency, data accuracy, and user engagement, establishing a scalable blueprint for modern library automation.