Welcome to CodeGuard
An evidence-based system for analyzing code submissions and detecting potential integrity issues.
Similarity Detection
Advanced MinHash-based similarity detection to identify potential plagiarism or code copying across submissions.
Baseline Deviation Analysis
Compare submissions against a student's historical coding patterns to detect unusual changes in style or complexity.
Evidence-Based Reporting
Comprehensive reports with risk scores and supporting evidence to assist instructors in making informed decisions.
Get Started
LoginSystem Status
API Status:
Online
Version:
1.0.0
Supported Languages:
C++, Java, Python
Important Notice
CodeGuard provides probabilistic evidence and risk indicators, not definitive proof of academic misconduct. All flagged submissions should be reviewed by instructors and discussed with students before making any determinations.