GradeGuard

GradeGuard is a web app (with optional LMS add-ons) that audits grading at scale for schools and training programs. Instructors upload a gradebook export (Canvas/Moodle/Google Classroom CSV) plus the assignment rubric, and GradeGuard flags anomalies: inconsistent rubric application, missing submissions marked as zero, late-penalty miscalculations, duplicate entries, and outlier scores that suggest data-entry mistakes. It also generates a short “audit report” instructors can act on in minutes, with a one-click checklist to confirm fixes and export a corrected gradebook. This is an AI + traditional rules engine: deterministic checks handle math and policy, while AI reviews rubric-to-feedback alignment and highlights likely mis-scored items. It’s not a magic auto-grader; it’s a safety net that reduces disputes, regrade requests, and end-of-term chaos. The product lives or dies on trust, transparency, and easy integration.