NLP and OCR based Automatic Answer Script Evaluation System

Abstract

Evaluation of answer scripts is a tedious laborious process in the education domain. Proper solution is proposed in this paper using two different state of art technologies i.e., Natural Language Processing (NLP) and Optical Character Recognition (OCR). To develop the Automatic Answer Script Evaluation System. The system is intended to simplify grading by automatic the scoring of written responses in a consistent and accurate way. The NLP portion of the system is responsible for understanding the semantic purposes in textual content of answer scripts. It uses state-of-the-art language models to assess and infer the context, coherence, and entailment properties of the generated text answers. Using NLP to understand text, the system can check not only for correct grammar but also gauge how deeply a particular concept is understood.