This project is a Streamlit application that recommends similar books based on the user's selected title, utilizing a Machine Learning model powered by the K-Nearest Neighbors (KNN) algorithm. Users can easily choose a book from a dropdown list, and the system will generate personalized recommendations for five similar titles. Each recommendation is accompanied by the book's cover image, enhancing the user experience.
The project aims to provide an intuitive interface for book lovers, helping them discover new reads that align with their interests and preferences. By leveraging KNN, the system analyzes the features of selected books to find and suggest those with comparable attributes, making it a valuable tool for avid readers seeking their next favorite book.