• Developed a multi-tiered plagiarism detection system classified plagiarism levels, which significantly diminished manual review workload by 70% and provided comprehensive similarity scoring to uphold academic integrity. • Employed Digital Pattern Analysis, successfully generating unique digital fingerprints (UDP) from handwritten assignments via Histogram of Oriented Gradients (HOG), enhancing detection accuracy by 85%. • Pioneered the integration of Optical Character Recognition (OCR) technology, resulting in reliable extraction and comparison of textual data from images. Achieved a precision rate of 96% across varied handwriting samples, enabling the detection of subtle similarities and distinctions.