Mind Mentor: AI-Powered Intelligent Study Companion

It has been observed that a wide range of students apply for different kinds of exams, including institutional, non-institutional, and occasionally even competitive ones. We are often dealing with multiple-choice questions in several tests because they are objective in nature. In these cases, automated scoring is typically applied. However, we still face difficulties when it comesto automating the scoring for subjective papers. The primary goal of our research is to design an algorithm that can automate the evaluation of answers. By using a machine learning approach, we aim to develop a system that can maintain the scoring process while reducing the amount of human effort required. This would not only streamline the evaluation of subjective answers but also improve efficiency and consistency in grading.