International Journal of Science, Engineering and TechnologyAuthors: Ajay Rajendra Erude, Dr. Sushilkumar N. Holambe, Dr. Vikramsinha V. Mane
Abstract: The comprehensive evaluation of handwritten answer sheets plays an essential role in the educational evaluation process, yet it remains a time-consuming process prone to subjectivity and inconsistency. This paper investigates how Artificial Intelligence (AI) can be leveraged to improve this process. We present a prototype system that utilizes a multimodal AI model to perform a comprehensive analysis of both a digitized question paper and handwritten answer sheets. The system automates grading, provides detailed feedback, and, critically, addresses a significant gap in existing research by automatically identifying and extracting student identification numbers from handwritten answer sheets. Initial testing on a computer science and engineering examination demonstrates the system's capacity to provide consistent, accurate evaluations and feedback, affirming the potential of AI to create more efficient and equitable assessment workflows.
