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OMR (Optical Mark Recognition) is a technique used to capture human-marked data from documents like multiple-choice exams, surveys, and ballots. An OMR scanner identifies marks made by users (typically filled bubbles or boxes) on a printed form, and then processes that data. This project aims to build an OMR scanner and grader that can read and grade multiple-choice test forms including handling of multiple marked bubbles , Non-filled bubbles, Visualization of correct and incorrect answers and displaying the percentage of correct answers at the bottom of the OMR sheet. It also includes reading the answer key from a CSV file, easier to input large answer keys.
The text was updated successfully, but these errors were encountered:
OMR (Optical Mark Recognition) is a technique used to capture human-marked data from documents like multiple-choice exams, surveys, and ballots. An OMR scanner identifies marks made by users (typically filled bubbles or boxes) on a printed form, and then processes that data. This project aims to build an OMR scanner and grader that can read and grade multiple-choice test forms including handling of multiple marked bubbles , Non-filled bubbles, Visualization of correct and incorrect answers and displaying the percentage of correct answers at the bottom of the OMR sheet. It also includes reading the answer key from a CSV file, easier to input large answer keys.
The text was updated successfully, but these errors were encountered: