Autogradex

Autogradex addresses the inefficiencies and inconsistencies of manual answer booklet evaluations in educational systems. Traditional grading is time-intensive, often subjective, and prone to human error, leading to delays and potential bias in student assessments. Autogradex uses AI-driven automation to digitize, evaluate, and score answer booklets quickly and accurately. By employing NLP, OCR, and machine learning, it ensures consistency, reduces bias, and provides actionable feedback, freeing educators to focus more on teaching and less on grading logistics.