Welcome to the Book Recommendation System project! This tool leverages advanced data analysis and machine learning to provide personalized book recommendations based on user input.
Our Book Recommendation System is designed to help users discover books that match their tastes and preferences. By analyzing a vast dataset of books, ratings, and user interactions, this system can suggest books that users are likely to enjoy.
Personalized Recommendations: Get book suggestions tailored to your unique reading preferences.
Search Functionality: Easily search for your favorite books and authors.
Interactive Interface: User-friendly interface built with Flask and Bootstrap for a seamless experience.
Python: Core programming language for developing the application.
Flask: Lightweight web framework for building the web application.
Pandas & NumPy: Libraries for data manipulation and analysis.
Pickle: Used for loading pre-trained models and datasets.
HTML, CSS (Bootstrap): For front-end design and user interface.
JavaScript: Enhances interactivity and user experience.
Clone the Repository:
sh
Copy git clone https://github.com/Sanketx125/book-recommendation-system.git cd book-recommendation-system Set Up the Environment: Ensure you have Python and necessary libraries installed.
sh
Copy pip install flask pandas numpy Run the Application:
sh
Copy python app.py Access the Application: Open your web browser and navigate to http://127.0.0.1:5000/
For any questions or feedback, please feel free to contact us at [email protected].
This project is licensed under the MIT License. See the LICENSE file for more details.