Advanced International Journal for Research

E-ISSN: 3048-7641     Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Marksense - Intelliegnt Evaluating System

Author(s) Ms. Ridhisha D. Awale, Mr. Ayush P. Khandekar, Ms. Prachi D. Munjewar, Ms. Shrawani V. Sapkal, Mr. Arman J. Bharti, Prof. Irfan Javed
Country India
Abstract MarkSense is an automated student evaluation system designed to eliminate the limitations associated with traditional manual assessment processes. Manual checking of answer sheets is time-consuming, labor-intensive, and prone to human error, particularly when handling large student volumes across multiple subjects. MarkSense integrates Optical Character Recognition (OCR) to extract text from scanned or handwritten answer sheets and evaluate responses by comparing them with predefined model answers. The system automates grading, generates result reports in PDF format, and provides instant feedback to students. Separate dashboards allow administrators to upload subjects, model answers, and manage submissions, while students can view results, track their progress, and download reports. Additional features such as automated email notifications and an AI-based chatbot enhance communication and user experience. By automating evaluation, reducing manual workload, and centralizing academic data, MarkSense improves accuracy, efficiency, and transparency in educational assessment. This project demonstrates the potential of integrating AI and OCR technologies to transform conventional evaluation techniques into a smart, scalable, and efficient digital assessment solution.
Keywords MarkSense is an automated student evaluation system designed to eliminate the limitations associated with traditional manual assessment processes. Manual checking of answer sheets is time-consuming, labor-intensive, and prone to human error, particularly when handling large student volumes across multiple subjects. MarkSense integrates Optical Character Recognition (OCR) to extract text from scanned or handwritten answer sheets and evaluate responses by comparing them with predefined model answers. The system automates grading, generates result reports in PDF format, and provides instant feedback to students. Separate dashboards allow administrators to upload subjects, model answers, and manage submissions, while students can view results, track their progress, and download reports. Additional features such as automated email notifications and an AI-based chatbot enhance communication and user experience. By automating evaluation, reducing manual workload, and centralizing academic data, MarkSense improves accuracy, efficiency, and transparency in educational assessment. This project demonstrates the potential of integrating AI and OCR technologies to transform conventional evaluation techniques into a smart, scalable, and efficient digital assessment solution.
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-05-22
DOI https://doi.org/10.63363/aijfr.2026.v07i03.5705

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