Book Summarizer

A full-stack web application that enables users to browse books, view detailed summaries, and filter books by categories. Summaries are generated using generative AI models, providing engaging and insightful content.

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Features

• Book Browsing: View books in a responsive grid layout with images, titles, and authors.
• Web Scraping:
  • Scraped the Amazon website to retrieve product URLs for books.
  • Scraped Project Gutenberg for metadata and full book text.
• AI-Powered Summaries: Generate detailed summaries for books using the Gemini 1.5 Flash model.
• Filters and Search:
  • Filter books by popular categories (e.g., Science Fiction, Romance).
  • Search books by keywords including title, author, language, category, etc
• Book Details: Click on any book to view its details, including language, category, image, and summary.
• Responsive Design: Works seamlessly on desktop and mobile devices.

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Tech Stack

Frontend

• React
• CSS

Backend

• Flask
• SQLite

AI Integration

• Generative AI (Gemini 1.5):
  • Summaries include detailed descriptions of each chapter/section and key takeaways at the end.
  • Prompt Engineering: Designed a custom prompt to structure summaries logically and ensure readability and relevance.

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Installation

1. Clone the Repository

git clone https://github.com/hibaa8/Summarizer.git
cd Summarizer

2. Backend Setup

Navigate to the backend directory:

cd app/backend

Install the necessary requirements

pip install -r requirements.txt   

Run the Flask app:

flask run

3.Frontend Setup

Open a new terminal window and navigate to the frontend directory:

cd app/frontend

Install dependencies:

npm install

Start the development server:

npm start

View the App

Open your browser and navigate to: http://127.0.0.1:3000 (flask server should be running on port 5000)