An AI-powered exam paper generator that uses Retrieval-Augmented Generation (RAG) with FAISS vector search and Groq's LLaMA-3.1 to auto-generate structured university exam papers from PDF lecture slides. Supports MCQ, True/False, Short Answer, Fill-in-the-Blank, and Descriptive questions with configurable difficulty levels.
python nlp ai deep-learning embeddings kaggle chunking pymupdf faiss rag vector-search vector-database sentence-transformers llms generative-ai langchain groq-api llama3 examgenerator
-
Updated
Jun 12, 2026 - Jupyter Notebook