Abstract: During their eight semesters of study, engineering students at APJ Abdul Kalam Technological University (KTU) must accrue 100 activity points. These points are awarded based on participation in workshops, internships, startups, extracurricular activities, and other engagements, with each activity credited according to KTU's prescribed guidelines. Currently, certificates serve as proof of participation and completion, which are manually uploaded by officials after submission to the respective department. To streamline this process, we propose an OCR-based system that leverages text recognition and image processing technology. This system will automate certificate verification and data entry, reducing manual effort and ensuring seamless integration with the university portal.
Keywords: Text Recognition, OCR, NLP
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DOI:
10.17148/IJARCCE.2025.14450
