AI – Based Interview Evaluation System

Automatic Question Generation has emerged as a significant area of research in Natural Language Processing, particularly in the field of educational technology.With the increasing growth of digital learning environments, there is an ever-growing need for automated systems that can automatically produce assessment questions based on study materials.This survey paper reviews the design of lightweight document-based question generation systems developed through rulebased Natural Language Processing approaches, PDF text extraction techniques, and the Flask web framework.Unlike deep learning models that demand considerable computational resources and GPU support, lightweight systems function completely in CPU environments and are appropriate for academic settings with limited infrastructure.This paper reviews the architecture, approaches, implementation techniques, strengths, weaknesses, and potential improvements of such systems.