Summarized Audio Book Recommendation System with Open Source Data

In a day to day life there has been tremendous development in digital library. The infrastructure of reading books has changed colossally. The book industry is undergoing digital transformation. The recommender systems are software Systems that filter relevant information out of large amount of available information as per user's preference and interest. In addition to recommendation, the content of the book will be portrayed in the form of sound especially for the people who actually can't sit and read the book. In a day to day life, the libraries and knowledge centers have to go hand in hand with upcoming e-tech demands of user. In the light of background, the application makes a profile of a user so that user can add books of his / her own choice. The user will have a privilege to share their book shelf with their friends.