Tool for Evaluating Subjective Answers using AI (TESA)

Modes of evaluation can be bifurcated into two main types, namely, objective answer evaluation and subjective answer evaluation. The technique of objective answer evaluation is widely used for most entrance examinations. The reason behind doing so is that it tests the analytical as well as the reasoning ability of a student while also being extremely accurate and efficient. Examinations such as the GATE exam are known to have never repeated questions. Although this technique is liable, it is close to impossible to implement such a system at the institute level for evaluating the semester exams of engineering students. One of the major limitations of the objective examinations is that it fails to analyze how well a student has grasped a particular subject. There is hence a need for a system that automizes the task of repetitive answer sheet corrections and provides optimal accuracy. This proposed model has come up with a reliable system based on previous work that formulates the marks scored by the student based on the sentence similarity, Jaccard similarity, and grammar of the model answer and student answer.