A Systematized Framework for Smart Libraries using IoT and ML. A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches

      Аннотация: This book presents a fully automated structure for a smart library using the Internet of Things (IoT), which is enhanced further by using Machine Learning. The role of IoT is to enhance the quality and improve the efficiency of services being provided. Also, to ensure proper utilization of resources and secure the library data. The inclusion of QR technology provides a strong authentication to prevent thefts. The integration of MOODLE, i.e. a learning management system, into the library, is used to establish a connective network between the college librarians, students and their respective departments. The student book usage data is further used to recommend other books to students which are relevant to their field of study. The pool of resource usage data can be qualitatively used to understand the student learning habits, based on which predictive analysis has been made using Sentiment Analysis. This facilitates the updation of books and resources in the library to ensure that the students use the resources righteously and understand their subjects thoroughly. The same can be used by faculty members to modify their assignments, and also use the integrated LMS portal effectively.

Ключевые слова: Internet Of Things (IoT), learning management system, Library Automation, Machine Learning, Predictive Analysis, Collaborative Filtering, Sentiment Algorithm, VADER.