System Architecture Visual
Project Overview
An automated system that generates comprehensive quizzes from provided text or topics using advanced Language Models.
Methodology & Architecture
1. Content Analysis
Parsing input documents for key concepts and entities.
2. Question Generation
LLM-based generation of multiple-choice and open-ended questions.
3. Validation
Automated scoring and quality check of generated questions.
Technologies Used
Python
LLM
NLP
Key Learnings
- Prompt engineering for consistent educational content generation.
- Handling diverse input formats for textual analysis.
- Balancing question difficulty and variety.