Welcome to the Educhain documentation! 🚀 Educhain is a powerful Python package that leverages Generative AI to create engaging and personalized educational content.
| 📚 Getting Started | 🌟 Features | 🛠️ Advanced | 🤝 Community |
|---|---|---|---|
| 🔧 Installation | 📝 MCQ Generation | 🎨 Custom Prompts | 👥 Contributing |
| 🏃♂️ Quick Start | 📊 MCQ_from_data | 🤖 LLM Models | 💬 Discord |
| ⚙️ Configuration | 📤 Export Options | 📚 Data Sources | 🌐 Website |
Educhain consistently outperforms traditional methods in content generation speed and quality. Learn more about our performance
- 📝 Generate Multiple Choice Questions (MCQs)
- 📊 Create comprehensive Lesson Plans
- 🔄 Support for various LLM models
- 📁 Export questions to JSON, PDF, and CSV formats
- 🎨 Customizable prompt templates
- 📚 Generate questions from text/PDF files
from educhain import Educhain
client = Educhain()
questions = client.qna_engine.generate_questions(
topic="Indian History",
custom_instructions="Include questions about Maharana Pratap",
num=5
)
questions.show() 🏃♂️ See our Quick Start guide for more
Educators worldwide are using Educhain to transform their teaching. Check out our success stories to see how Educhain is making a difference in classrooms around the globe.
We're always working to make Educhain better! Be sure to check out our upcoming features:
- Flashcard Generation to simplify learning
- Study Guide Creation for comprehensive topic understanding
- High-Accuracy Math Questions for students and educators
- Try it out on our website for on-the-go content creation 🚀
We welcome contributions from the community! Whether you're fixing bugs, adding new features, or improving documentation, your help is appreciated.
- 📰 Blog
- 💬 Discord Community
Educhain is open source software licensed as MIT.
Made with ❤️ by Buildfastwithai