Smart Grading System for Evaluating Typed Text Answers Using Ensemble Machine Learning Techniques

The AI-based smart grading system evaluates student’s answers in the text format and analyzes the documents that help identify student performance. This smart grading system fixes the difference between human errors while evaluating students’ answers in the examinations. AI-based grading systems can analyze typed text-based assignments and reduce manual effort and time consumption to assign grades more accurately and unabashedly. AI can be used to identify patterns in the text data, such as correlations between student demographics and context. AI can also identify areas for improvement, such as specific courses that need to be addressed to improve student performance. The proposed system may utilize the data collected from multiple students (survey/web portal). The collected text documents are to be labeled. The text data will be processed and converted to an analytics dataset. The analytical dataset will be used to predict the classes of the documents using custom deep neural network algorithms.