Image Processing for Admit Card using ML

The digitization of administrative processes in educational institutions has led to a paradigm shift in the management of examination- related documents, particularly admit cards. Admit cards serve as crucial identifiers for candidates appearing in examinations, yet traditional methods of printing and distributing them are fraught with challenges such as security vulnerabilities, printing errors, and logistical complexities. This research aims to propose and evaluate a novel approach to admit card management leveraging machine learning (ML)-based image processing techniques.