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Mobile OCR for Automatic MCQ Grading by Muhammad Usman is a document available to read on EtoBox.

1. The document proposes developing a framework to automatically read and grade MCQs using optical character recognition (OCR) on images taken from a mobile camera. 2. The objectives are to convert images to text using OCR, match marked answers to the key, add scores to correct answers, and store results with student names. 3. Existing methods require expensive equipment like scanners and specialized sheets, while the proposed method uses a mobile camera and Python libraries for a low-cost solution.

Author
Muhammad Usman
Language
EN