An Automated Answer Grading System is a machine learning-based Django project that allows teachers to automatically grade student answers in a fast and efficient manner. The system will use natural language processing techniques to analyze and compare the student’s answer to the correct answer and assign a grade based on how closely the two match.
The project will consist of a web-based interface that teachers can use to upload student answers and view the results. Teachers will also have the ability to view detailed reports on student performance, including overall scores and breakdowns of individual question scores.
The system will be trained using a dataset of correct and incorrect answers, which will be used to develop the machine learning model that will be used to grade the student’s answers. The model will use various natural language processing techniques such as text similarity, sentiment analysis, and topic modeling to compare the student’s answer to the correct answer.
Overall, the Automated Answer Grading System will be a powerful tool for teachers that will allow them to grade student answers quickly and accurately, freeing up more time for other important teaching tasks.
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