Description
<p>An AI question paper generator with a contemporary ReactJS UI and LangChain RAG LLM developed as a Python FastAPI project. Create multiple-choice, subjective, and multiple-choice questions straight from the course PDFs. Users can safely log in, upload a course PDF, and use AI to create question papers instantaneously with this project. In order to provide high-quality, diverse question sets, this whole-stack solution—a Python Reactjs complete stack project—combines semantic search with RAG and LLM-powered rephrasing.</p>
Safe User Sign-In
Safely manage question sets and uploads.
Uploading and Processing PDFs divides information using RAG and LangChain project algorithms into 1000-token chunks with a 200-token overlap.
Different Types of Questions supports formats that are subjective, multiple choice, and single choice.
Semantic Vector Search
<p>A key component of this AI-powered question generator is the retrieval of contextually relevant questions using vector similarity.
Following retrieval, questions are improved for clarity and diversity utilizing project workflows based on LLM. The solution is perfect as an AI project for college students or educators looking at machine learning projects for 2025 because it shows how to integrate FastAPI LangChain.</p>
