OCR-Based Document Parsing and Evaluation Using AI

This research aims to enhance the efficiency and accuracy of student paper evaluation. By leveraging Optical Character Recognition (OCR) to extract text from examination papers, we propose a novel approach that incorporates N-gram analysis and sentence flow techniques for parsing and assessing the content. The system's performance is evaluated based on factors such as accuracy marking, plagiarism detection, and overall grading. Our findings demonstrate the effectiveness of this integrated approach in providing a robust and reliable grading system, ultimately aiding students in improving their academic performance.