AI Quiz Generator in 2026: Build a Free Self-Hosted Quiz App with Anki (30k Stars) + LangChain - 5 Working Patterns

๐Ÿ“˜ Tutorials 2026-08-05 2 min read

Anki (29,543 stars) stores the questions, LangChain (143,470) generates them from any source material, and an LLM keeps difficulty calibrated - a free quiz system for teachers, tutors and self-learners.

💡 What You Will Learn

Anki (29,543 stars) stores the questions, LangChain (143,470) generates them from any source material, and an LLM keeps difficulty calibrated - a free quiz system for teachers, tutors and self-learner

📜 Table of Contents

The short answer

The fastest way to build a quiz generator: use an LLM to create questions from your source material (lecture notes, textbook chapters, articles), store them in Anki (29,543 stars) for spaced repetition, and auto-grade with the same model. Everything is free and self-hosted.

Pattern 1 - Generate questions from any text

import openai
text = open("chapter3.txt").read()
resp = openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content":
        "Create 10 multiple-choice questions from this text, 4 options each, "
        "with correct answers. Return JSON. " + text[:8000]}])
print(resp.choices[0].message.content)

Pattern 2 - Cloze deletion for memorization

Ask for fill-in-the-blank cards ("The capital of France is ___") - these are the most effective for spaced repetition in Anki.

Pattern 3 - Auto-grading

resp = openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content":
        f"Grade this answer to '{question}' out of 10 with one-line feedback: {answer}"}])

Pattern 4 - Difficulty calibration

Have the model tag each question 1-5 by difficulty, then schedule harder questions less frequently - Anki handles the scheduling.

Pattern 5 - Import to Anki

Export questions as CSV (Front,Back,Tags) and import into Anki, or use AnkiConnect for scripted sync.

Real numbers

FAQ

Q: Are the questions any good? A: Mini-class models generate good MCQs from clear source text; review and edit the first batch, then calibrate your prompt.

Q: Can students use it too? A: Yes - feed it your notes, generate self-quizzes, and Anki handles review scheduling.

Q: What about math questions? A: LLMs handle basic arithmetic and algebra; for LaTeX-heavy questions, ask for LaTeX output and render with MathJax in Anki.

❓ FAQ

Are the questions any good?

Mini-class models generate good MCQs from clear source text; review and edit the first batch, then calibrate your prompt.

Can students use it too?

Yes - feed it your notes, generate self-quizzes, and Anki handles review scheduling.

What about math questions?

LLMs handle basic arithmetic and algebra; for LaTeX-heavy questions, ask for LaTeX output and render with MathJax in Anki.

Related Articles
2026-08-05
Open Source AI Video Generator for Local Use in 2026: Open-Sora (29k Stars) vs AnimateDiff - Free Video on Your GPU
2026-07-27
GGUF Quantization Explained 2026: Run 70B Models on One GPU
2026-07-19
AI Agent Retry Strategies: Gracefully Handling Failures

Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ€” no paid placements.

๐Ÿ’ฌ Comments (0)

No comments yet. Be the first!

Login to comment