Certainly! Here's a more formal, polished, and professional version of your README.md:

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📄 Gemini-Powered PDF Highlighter and Question Generator

Overview

This repository hosts a web application designed to process PDF files and generate educational resources. The application offers the following capabilities:

• AI-powered highlighting: Identify and annotate important content in a PDF, distinguishing it from skippable sections.
• Exam question generation: Create multiple-choice questions (MCQs), short-answer, and long-answer questions using Gemini AI (Pro versions 1.5 and 2.5).
• Custom color-coded annotations: Annotate content in PDFs with personalized color schemes utilizing PyMuPDF.

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Features

• Effortless PDF uploading: Enables users to upload PDF files seamlessly.
• AI classification: Automatically identifies important and skippable content.
• Custom sentence-level highlighting: Provides annotations with user-defined color schemes.
• Question generation: Produces exam-style questions via Gemini AI.
• Modern architecture: Flask backend integrated with an HTML/JavaScript frontend.

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Technical Stack

Component	Technology Used
Backend	Python, Flask
PDF Processing	PyMuPDF (fitz)
AI Model	Gemini Pro versions 1.5/2.5
Frontend	HTML, CSS, JavaScript
Highlighting Logic	RapidFuzz (text match)

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Project Structure

├── app.py               # Flask backend server
├── geminibhadwa.py      # Logic for Gemini prompt and content classification
├── summary.html         # Main frontend interface
├── scripts.js           # JavaScript for frontend interaction
├── style.css            # General styling
├── summary.css          # Highlighting-specific styles
├── static/              # Directory for static assets (JS/CSS)
├── templates/           # Directory for HTML templates rendered by Flask

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Setup Instructions

Step 1: Clone the repository

git clone https://github.com/your-username/gemini-pdf-highlighter.git
cd gemini-pdf-highlighter

Step 2: Install dependencies

Ensure that Python (version 3.9 or higher) and pip are installed on your system. Then execute:

pip install -r requirements.txt

For Anaconda users (recommended for Windows):

conda create -n gemini-pdf python=3.10
conda activate gemini-pdf
conda install -c conda-forge pymupdf flask

Step 3: Configure the Gemini API key

Add your Gemini API key by creating a .env file or by directly setting the key in geminibhadwa.py:

genai.configure(api_key="YOUR_API_KEY")

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Execution

Start the application server by executing:

python app.py

Access the application via your web browser at http://127.0.0.1:5000.

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Future Enhancements

• Support for multi-page PDFs.
• Drag-and-drop functionality for uploading PDFs.
• Ability to save annotated PDFs with highlights.
• Enhanced difficulty-level detection for generated questions.

License

This project is licensed under the MIT License. Please review the LICENSE file for more information.

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Contributions

Contributions are welcome! You can fork the repository and submit pull requests to improve the application. Feedback and issues can be reported via GitHub.

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This version is more formal and structured while maintaining clarity and professionalism. Let me know if you'd like further adjustments or additions! 😊