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@article{169748,
        author = {Rushikesh G. Dongare and Prof. Tanuja S. Mulla and Gauri Y. Kakulte and Manjiri M. Tamkar and Shraddha S. Tambekar},
        title = {OMR System Empowered by Machine Learning and Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2129-2132},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169748},
        abstract = {This study affords the design and development of an automatic Optical Mark recognition (OMR) system aimed toward revolutionizing the grading procedure for examination answer sheets. The manual managing of OMR sheets has long been an undertaking, often resulting in mistakes and delays. through incorporating advanced image recognition and machine learning algorithms, our OMR system automates the complete grading technique, drastically enhancing velocity, precision, and scalability. The machine processes scanned OMR solution sheets and correctly evaluates them, ensuring real-time comments and scalability for each school room and huge-scale aggressive tests. Our experimental results exhibit the system's capacity to gain a 98% accuracy price whilst keeping rapid processing speeds, making it a treasured device in academic environments.},
        keywords = {Automated evaluation, Image processing, Machine learning, Optical mark recognition.},
        month = {November},
        }