Overview

This project streamlines the process of turning your lecture notes, textbooks, or PDFs into ready-to-use Anki decks. It leverages large language models (LLMs) to extract, summarize, and format educational content into flashcards, saving you hours of manual work

Example Flashcards

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Directory Structure

.
├── src/                # Source code for processing and deck creation
├── data/               # Input and output files
├── tests/              # Unit tests
├── out/                # Generated decks and intermediate files
├── requirements.txt    # Python dependencies
├── config.py           # Configuration
├── README.md           # This file
└── ...

Customization

• Prompts:
  Modify the prompts in src/preprocess_text.py to suit your subject or style.

• Deck Styling:
  Edit the CSS in config.py or src/create_anki_deck.py to change the look of your flashcards.