Smart Paper Assessment System

The increasing demand for rapid and accurate assessment in large-scale examinations has driven the development of automated grading systems. This paper introduces a Smart Paper Assessment System that leverages Optical Character Recognition (OCR), Natural Language Processing (NLP), and Large Language Models (LLMs) to convert physical exam papers into digital formats, analyze student responses, and autonomously assign scores. The system operates by first applying OCR to digitize handwritten or printed text on exam papers, enabling the identification and organization of student answers. NLP techniques then align these responses with their corresponding questions, while LLMs assess the content by comparing it to a predefined answer key. Using