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Abstract
In today’s world most of the competitive exams are based on MCQ (Multiple Choice Questions). The responses of these MCQ based exams are recorded in the Optical Mark Reader (OMR) sheet. Evaluation of the OMR sheet requires separate specialized machines for scanning and marking. The sheets used by these machines are special and costs more than a normal sheet. In this paper, we intend to implement a real-time automatically analyzing human marked OMR (Optical Mark Recognition) sheet and interpreting results using OpenCV. There are two ways by which we can analyze OMR is through Live Stream or Photos. In our Model we used both methods to interpret results. OpenCV is a machine learning software library which includes a library of programm ing functions used in real time computervision.