MARKSHEET DATA COLLECTOR

COMPUTER ENGINEERING

This study presents a novel solution to automate data entry and validation and streamline registration processes: the Marksheet data collector and validator. By leveraging Optical Character Recognition (OCR) technology, the system extracts data from user-provided marksheet images and verifies its accuracy and credibility by validating it with registration form data. Using Machine learning algorithms and data verification methodologies, the system continuously improves accuracy while ensuring adaptability to a variety of marksheet formats and languages. It exhibits notable improvements in processing speed and error reduction through experimental evaluation, providing a viable way to improve user experience and registration efficiency in a variety of fields. Furthermore, we highlight the system's potential impact on reducing administrative burden and improving data integrity in registration processes. Overall, this research contributes to advancing automated registration technologies, paving the way for more efficient and reliable data management practices.

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