Inspiration
AI Grader is an intelligent, serverless grading system designed to assist teachers and students by automating the evaluation of MCQ-based assessments. It functions as a Virtual Teaching Assistant (Virtual TA) that can analyze answers, calculate scores, provide performance insights.
The project was inspired by the need to reduce educators’ workload and make assessment feedback instant and data-driven. Traditional manual checking is time-consuming and error-prone. With the rise of AI in education, I wanted to explore how machine learning and automation could simplify this process while maintaining fairness and accuracy.
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