ai-quizgenie

ai-quizgenie

by bala-ceg

ai-quizgenie is an Apify Actor that extracts content from webpages and PDFs to generate multiple-choice quiz questions (MCQs) using LLMs (GPT-3.5, GPT...

257 runs
10 users
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Opens on Apify.com

About ai-quizgenie

ai-quizgenie is an Apify Actor that extracts content from webpages and PDFs to generate multiple-choice quiz questions (MCQs) using LLMs (GPT-3.5, GPT-4, etc.).

What does this actor do?

ai-quizgenie is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

AI Quiz Genie – Generate AI-Powered Quizzes ai-quizgenie is an Apify Actor that extracts content from webpages and PDFs to generate multiple-choice quiz questions (MCQs) using LLMs (GPT-3.5, GPT-4, etc.). ✅ Supports Web & PDF ExtractionDynamic Model Selection (GPT-3.5, GPT-4, etc.) ✅ LangGraph for Workflow AutomationApify-Compatible for Deployment --- ## 📂 Project Structure /ai-quizgenie/ │── src/ │ ├── __main__.py # Executes main.py │ ├── main.py # Apify Actor Execution and Langgraph flow │ ├── tools.py # Web & PDF Extraction │ ├── utils.py # Quiz Generation Logic │ ├── models.py # Pydantic Schema │── dataset_schema.json # Defines Output Format │── requirements.txt # Python Dependencies │── Dockerfile # Containerized Deployment │── input.json # Example Input │── README.md # Documentation --- ## 🛠 Installation & Setup ### 1️⃣ Clone the Repository bash git clone https://github.com/yourusername/ai-quizgenie.git cd ai-quizgenie ### 2️⃣ Install Dependencies bash pip install -r requirements.txt ### 3️⃣ Set API Keys (Optional) If using OpenAI, set your API keys: bash export OPENAI_API_KEY="your-api-key-here" export OPENAI_API_BASE="your-base-url" --- ## 🚀 Running the Actor Locally ### Run with Sample Input bash apify run -i input.json ### Example input.json json { "url": "https://en.wikipedia.org/wiki/Artificial_intelligence", "num_questions": 5, "difficulty": "Medium", "model": "gpt-4-turbo" } --- ## 🔧 How It Works 1. Extracts content from webpage/PDF 2. Uses LLM to generate quiz questions 3. Outputs structured MCQs in JSON format --- ## 📜 Example Output (dataset_schema.json) json { "model": "gpt-4-turbo", "questions": [ { "question": "Who is considered the father of AI?", "options": ["Alan Turing", "John McCarthy", "Geoffrey Hinton", "Yann LeCun"], "answer": "John McCarthy", "explanation": "John McCarthy coined the term 'Artificial Intelligence' in 1956." } ] } --- ## 📦 Deploying to Apify ### 1️⃣ Push to Apify bash apify push ### 2️⃣ Run on Apify Cloud bash apify call ball-ceg/ai-quizgenie -i input.json --- ## 📜 Customization - Modify input.json to change the difficulty, number of questions, or LLM model - Edit utils.py to tweak the quiz generation prompt - Extend graph.py to add more processing steps --- ## 🤝 Contributing Want to improve AI QuizGenie? Open a PR or suggest features! 🚀 --- ## Apify Screenshots Screenshot 2025-03-07 at 9 43 06 PM --- Screenshot 2025-03-07 at 9 39 04 PM --- Screenshot 2025-03-07 at 9 41 08 PM ---

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

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Actor Information

Developer
bala-ceg
Pricing
Paid
Total Runs
257
Active Users
10
Apify Platform

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