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.
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