Online Bookstore Product Catalog with AI-Powered Personalized Recommendations and Chat Support

Abstract: The increasing demand for personalized digital experience in e-commerce platforms has increased the need for artificial intelligence to enhance user experience. This project presents the development of an “online bookstore product catalog with AI-powered personalized recommendations and chat sup- port”. The system allows users to browse books, place orders, and manage purchases through a user-friendly web interface. To enhance personalization, the application uses an AI-based recommendation system that suggests books to users based on their browsing behavior, purchase history, and product similarity. The backend of the system is developed using Spring Boot, Spring AI, and MySQL for secure and efficient data management. The frontend is implemented using Angular.

Key terms: Spring Boot, MySQL, Online Bookstore, e-commerce, AI Chatbot