📚 Bookish - Your Personal Book Recommendation Platform

Bookish is a web application that provides personalized book recommendations using collaborative filtering. It integrates data from Google Books and Open Library APIs to deliver a seamless book search and recommendation experience.

Features

• Book Search: Search for books using Google Books and Open Library APIs.
• Book Display: View search results with book titles, authors, cover images, and ratings.
• Recommendation Engine: Get personalized book recommendations based on collaborative filtering.
• Model Training: The application trains a recommendation model using user ratings and book data.

Technologies Used

• Streamlit: For creating the web application.
• Requests: For making HTTP requests to book APIs.
• Pandas: For data manipulation.
• Surprise: For collaborative filtering and model training.
• Pickle: For saving and loading the recommendation model.

Getting Started

Prerequisites

• Python 3.x
• Required Python libraries (listed in requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/bookish.git
   cd bookish
   

   Install the required packages:

   
   pip install -r requirements.txt
   

Usage

Run the Streamlit app:

```
streamlit run app.py
```

Search for books:

Enter a search query in the text input field. View the search results displayed in a grid format.

Get Book Recommendations:

Select a book from the dropdown menu. Click the "Recommend" button to receive personalized recommendations.