Technical Documentation

A detailed explanation of how the KaguaAI code similarity and plagiarism detection system works

Current Operational Status

The KaguaAI content analyzer currently operates in Local Analysis Mode due to connectivity issues with the external Codequiry API. This provides users with a seamless experience while still delivering valuable insights about code similarity and potential plagiarism.

System Overview

How the KaguaAI content analyzer works at a high level

The KaguaAI content analyzer is a sophisticated system designed to detect code similarities and potential plagiarism across multiple programming languages. It employs a dual-mode approach to provide reliable analysis regardless of external API availability.

External API Mode

When enabled, connects to the Codequiry API to compare submitted code against millions of sources including public repositories, academic papers, and websites. Provides comprehensive, real-time plagiarism detection with source attribution.

Local Analysis Mode

When the external API is unavailable, uses a sophisticated local analysis engine that simulates plagiarism detection through pattern recognition, structural analysis, and intelligent comparison algorithms.

Key Features

Multi-language support for all major programming languages
Pattern-based code structure analysis
Intelligent similarity scoring with confidence levels
Detailed match highlighting with line-by-line comparison
Context-aware recommendations based on similarity findings
Seamless fallback to local analysis when external API is unavailable