Book Nest - Personalized Book Recommendation Website

Welcome to Book Nest! This project is designed to help users discover their next favorite read by curating personalized book recommendations based on their preferences and reading history. Whether you're a casual reader or a bookworm, Book Nest aims to make finding great books easy and enjoyable.

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Project Overview

Book Nest curates a list of books users might enjoy by gathering input on:

• Favorite Authors
• Books They Have Read and Liked
• Preferred Genres
• Books They Wish to Read

Using this information, Book Nest generates personalized suggestions, providing users with a fresh reading list tailored to their unique tastes.

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Key Features

• Personalized Recommendations: Get book suggestions that match your interests and reading habits.
• User-Friendly Input Form: Easily add favorite authors, genres, and books.
• Dynamic Curation: Recommendations adapt as users update their preferences.
• Interactive Experience: Engage with a visually appealing and intuitive interface.

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How It Works

1. User Inputs their reading preferences through a simple form.
2. The system analyzes the data and compares it to a book database.
3. A curated list of book recommendations is generated based on:
   • Matching genres
   • Similar books by favorite authors
   • Books with themes the user enjoys
4. Users can update preferences anytime to receive new recommendations.

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Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Python Flask
• Database: MySQL (via XAMPP & PHPMyAdmin)

Setup Instructions

1. Clone the repository:

   git clone https://github.com/YOUR_USERNAME/Book-Nest.git

2. Navigate to the project folder:

   cd Book-Nest

3. Install dependencies:

   pip install -r requirements.txt

4. Start the Flask server:

   python app.py

5. Access the website at:

   http://localhost:5000
   
   
   

File Structure

Book-Nest/ ├── static/ │ ├── css/ │ ├── js/ │ └── images/ ├── templates/ │ ├── index.html │ ├── recommendations.html │ └── form.html ├── app.py ├── requirements.txt └── README.md

Future Improvements

• User Authentication to save personalized recommendations
• Integration with Book APIs for real-time data
• Review System allowing users to rate books
• Social Features to share lists with friends