The quick increase in schools and big exams has made grading papers by hand more difficult. Old ways of grading depend a lot on people, which makes the process slow, not always fair, and can be affected by things like tiredness or personal opinions. While machines work well for multiple-choice questions, grading longer, written answers is still hard because understanding language isn\\\'t easy for computers. This paper suggests a smart, automated system that uses AI, OCR, NLP, and machine learning. It turns handwritten or printed tests into text that computers can read, checks multiple-choice answers by matching them to the correct answers, and evaluates written responses by looking at how similar they are to the right answers using machine learning. The system also uses explainable AI to make sure the grading is clear and fair. Tests show that this system saves time, makes grading more consistent, and is as accurate as humans. It offers a better, fairer, and more efficient way to grade exams for the future.
Sai et al. (Thu,) studied this question.