An automated book management system for cloud-based library administration using machine learning is a powerful tool that can provide substantial benefits to the library, its users and its staff. With a cloud-based system, libraries can save money by reducing the need for manual labor, streamline processes for better efficiency, and improve overall user experience. This paper presents an automated books management system for cloud-based library administration using machine learning. The proposed system is based on machine learning algorithms, which are used to analyze the data and automate the management of the library's books database. With the help of machine learning, library administrators can manage the book database more efficiently and keep it up-to-date. The system is able to detect patterns in data, classify books into different categories, identify duplicate entries, and manage the book database more efficiently. The system can also detect and suggest new books to customers using trends and popularity. Finally, the system will also help library administrators to keep track of which books are popular and should be promoted more and also suggest new books to be ordered. In summary, the paper presents an automated books management system for cloud-based library administration using machine learning that can help library administrators to better manage their book database, thereby improving the overall library management.