Assistive System for Answer Sheet Evaluation

Assistive System for Answer Sheet Evaluation

Vijay M G , Anoop R , Monish M , S Harsha Surya Datta , Nagarathna C

Abstract— Manual labor is difficult and exhausting when it comes to subjective paper evaluation. When employing Artificial Intelligence to analyses subjective papers, insufficient understanding and acceptance of data are major obstacles (AI). Several attempts have been made to use computer science to score students' answers. To accomplish this duty, the majority of the effort relies on traditional counts or specific terms. Additionally, there is a scarcity of curated data sets. This study provides a novel approach for automatically evaluating descriptive answers that incorporates multiple machine learning, natural language processing techniques, and tools. Answers are evaluated using solution statements and keywords, and a machine learning model is developed to predict answer grades.

Keywords – Subjective answer evaluation, machine learning, natural language processing.