Efficient Automatic Answer Evaluation System

Our automated answer script evaluation system utilizes advanced Natural Language Processing (NLP) techniques for precise grading. Incorporating keyword extraction, text recognition, and a viva evaluator, the system enhances assessment accuracy, significantly improving efficiency and reducing educator workload. Providing timely feedback to students, it fosters improved performance. The proposed methodology showcases a substantial improvement in grading speed and objectivity, contributing to the evolution of educational assessment practices. This paper reviews recent advancements, detailing related works, the proposed methodology with mathematical models and a comprehensive block diagram, meticulous test case evaluation, performance metrics, and a state-of-the-art comparison. Results demonstrate the system's effectiveness, highlighting its novel contributions. The paper concludes with discussions on limitations, future prospects, and an acknowledgment of recent research contributions in the field.