Book Recommendation System

This Book Recommendation System suggests books based on a selected title, displaying recommended titles along with their cover images.

Project Structure

app.py: The main Streamlit application file.
artifacts/: Directory containing pre-trained models and data files.
- modal.pkl: Pre-trained model for book recommendations.
- books_name.pkl: List of book names for the recommendation selection.
- final_rating.pkl: Dataframe with book ratings and image URLs.
- book_pivot.pkl: Book-pivot table for recommendation calculations.

Clone the repository:

git clone https://github.com/your-username/Book-Recommendation-System.git
cd Book-Recommendation-System

Install dependencies: Ensure that requirements.txt is in the project directory, then run:
```
pip install -r requirements.txt
```
Ensure all required data files are in place: Place the following files in an artifacts folder:
- modal.pkl
- books_name.pkl
- final_rating.pkl
- book_pivot.pkl
Run the Streamlit app: Start the app by running:
```
streamlit run app.py
```
Using the Application:
- Open the provided local URL in your browser.
- Select a book from the dropdown menu and click Recommend to see book suggestions with their cover images.

If you encounter a FileNotFoundError for any .pkl files, ensure they are in the correct path (artifacts folder).
If dependencies fail to install, confirm that requirements.txt is correctly configured and contains all necessary packages.

List of primary dependencies (included in requirements.txt):

This project is licensed under the MIT License - see the LICENSE file for details.