ShahxHussain/AI-Interviewer-and-Recruitment-Platform

• Repository: https://github.com/ShahxHussain/AI-Interviewer-and-Recruitment-Platform
• Commit: 424c9efd6256fae05079e3603e283807d0c65957
• Generated: 2026-11-14T14:52:01+00:00
• Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2

Scores

AI provenance

Weak signals consistent with AI-assisted development. Comments and strings use phrasing typical of LLM-written code (see the coding style evidence).

• Explicitly attributed share (lower bound): 0.0%

• Unattributed share in AI-consistent velocity bursts: 21.5%

• Estimated AI-generated share: 0.0%

• Stylometry index: 2.38 per 1,000 lines (narrated steps 1, placeholders 11, assistant phrasing 1, emoji 114). Reported as a signal, not scored.

Evidence

• 5,070 lines of first-party code in ~4.0h (1,268 lines/hour, 1 commit session) (6e1d3545249a)
• 2,864 lines of first-party code in ~4.4h (648 lines/hour, 2 commit session) (424c9efd6256)
• placeholder or demo-only phrasing: // In a real implementation, we would simulate the cleanup (ai-interview)
• placeholder or demo-only phrasing: // In-memory storage for demo purposes (ai-interview)
• placeholder or demo-only phrasing: // Verify user is authenticated (optional - you might want to add user-specific access control) (ai-interview)
• placeholder or demo-only phrasing: // Verify user is authenticated (optional - you might want to add user-specific access control) (ai-interview)
• assistant-style phrasing left in code: Key Features: (ai-interview)
• placeholder or demo-only phrasing: // Store metadata in localStorage for demo purposes (ai-interview)
• placeholder or demo-only phrasing: // In a real implementation, this would be stored in a separate collection (ai-interview)
• placeholder or demo-only phrasing: // In a real implementation, this would be retrieved from a separate collection (ai-interview)

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 36% of function code in complex or long functions; 14% duplicated lines. Weakest area: testing.

• Functions: 1,499; mean complexity 2.6, 90th percentile 6; 21 complex and 47 long functions
• Duplicated lines: 13.9% of 25,531 compared
• Tests: 70 test lines for 34,401 source lines (ratio 0.00); CI test commands: none detected; 17% of recent source commits also change tests
• Docs missing or thin: contributing, changelog

Most complex functions:

• CameraDebugPage in ai-interviewer/src/app/camera-debug/page.tsx: complexity 43, 159 lines
• InterviewSession in ai-interviewer/src/components/interview/InterviewSession.tsx: complexity 38, 462 lines
• VideoRecorder in ai-interviewer/src/components/interview/VideoRecorder.tsx: complexity 32, 239 lines
• AudioRecorder in ai-interviewer/src/components/interview/AudioRecorder.tsx: complexity 31, 234 lines
• ResumeUpload in ai-interviewer/src/components/resume/ResumeUpload.tsx: complexity 29, 165 lines

Security

Security posture is weak: 124 known vulnerabilities in 24 dependencies. Weakest area: posture.

• Known vulnerabilities: 124 in 24 packages (critical 7, high 76, medium 38, low 3)

• Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits

Top findings

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Repository profile

• Source lines: 34,401; test lines: 70