AI Driven Handwritten Assignment Analysis and Evaluation
Sandeep Reddy Boreddy · International Journal for Research in Applied Science and Engineering Technology · 2025
Manual evaluation of handwritten assignments is a time-consuming and labor-intensive process that burdens faculty members in educational institutions. This paper presents a novel AI-driven system designed to automate the evaluation of handwritten assignments using Optical Character Recognition (OCR) and Natural Language Processing (NLP). The system ensures accuracy, consistency, and efficiency in grading while reducing administrative workload. Unique assignment questions are generated from a robust question bank and distributed via institutional email. Students submit scanned handwritten responses through a dedicated portal, where OCR converts the images into editable text. An NLP engine then evaluates the submissions based on rubric-based grading criteria. Results are stored in an Excel sheet, readily accessible to faculty. This scalable solution enhances academic integrity, facilitates seamless evaluation, and can be integrated into modern educational workflows