Book Recommendation System

Project Description

The Book Recommendation System is a Flask-based web application that leverages collaborative filtering to provide personalized book recommendations. It features an interactive web interface and detailed book information, including titles, authors, publishers, and cover images.

Features

• Personalized Book Recommendations:
  • Suggests similar books based on user input.
• Interactive Web Interface:
  • Built with Flask for a seamless user experience.
• Detailed Book Information:
  • Displays book titles, authors, year of publication, publishers, and cover images.

Technical Details

• Backend:
  • Built with Flask (Python).
• Frontend:
  • Designed using HTML, CSS, and Bootstrap.
• Data Handling:
  • Uses pandas and NumPy for efficient data processing.
• Modeling:
  • Implements collaborative filtering for recommendations.

How It Works

1. Homepage:
   • Displays the top 50 books based on popularity.
2. Recommendation:
   • Users can search for a book in the "Recommend" tab.
   • The system suggests similar books using precomputed similarity scores.

Installation and Setup

1. Clone the Repository:

   $ git clone https://github.com/iamtgiri/Book_Recommendation_System.git
   $ cd Book_Recommendation_System

2. Install Dependencies:

   $ pip install -r requirements.txt

3. Add Dataset Files:
   • Ensure books.pkl, similarity_score.pkl, popular.pkl, and pt.pkl are in the project directory.
4. Run the Application:

   $ python app.py

   The app will be live at http://127.0.0.1:5000/.

GitHub Link

Check out the code and contribute on GitHub:
Book Recommendation System Repository