Developed using Python and leading data science libraries, the tool streamlines the computation of essential metrics such as item difficulty, discrimination indices, KR-20 reliability, and distractor efficiency. These parameters are synthesized into an intuitive Exam Quality Index (EQI), accompanied by automated narrative interpretations and targeted recommendations. This user-friendly application supports educators in enhancing assessment quality, promoting fairness, and fostering evidence-based educational practices.