Project synopsis on Automatic Question Paper Generator - AI powered exam paper automation

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Automatic Question Paper Generator — AI powered exam paper automation

An AI question paper generator built as a Python FastAPI project with LangChain RAG LLM and a modern ReactJS frontend. Generate MCQs, single-choice and subjective questions directly from course PDFs.

This question paper generator project lets users securely log in, upload a course PDF, and instantly generate question papers with AI. It is a full-stack solution — a python reactjs full stack project — combining semantic search with RAG and LLM-powered rephrasing to deliver high-quality, varied question sets.

Secure User Login
Manage uploads and access question sets safely.
PDF Upload & Processing
Splits content into 1000-token chunks with 200-token overlap using RAG with LangChain project techniques.
Multiple Question Types
Supports Single Choice, Multiple Choice, and Subjective formats.
Semantic Vector Search
Uses vector similarity to fetch contextually relevant questions — a core part of this question generator using AI.

After retrieval, questions are refined using LLM based project workflows for clarity and variety. The solution demonstrates FastAPI LangChain integration and is ideal as an AI project for college students or educators exploring machine learning projects 2025.

Why choose this system? It automates exam creation, reduces manual effort, and enables institutions to scale assessment generation — a practical example of education technology AI and a robust question paper automation system.

Tech stack: Python, FastAPI, LangChain (RAG), LLM, ReactJS — perfect for fastapi project ideas and python ai project tutorial readers.

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