LATE MIDDLEGAME · SYSTEM DESIGNMove 09 · Qh5 · 2026
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AIML Interview System
Unified AI Proctoring & Interview Platform
A consolidated monorepo for AI interview workflows, voice relay services, real-time proctoring, and evaluation powered by Next.js, Node.js, and Python.
★ Position Gained
Delivered an integrated interview system with a production-ready proctoring server, backend voice relay, AI cheating detection, and a polished frontend UX. The platform demonstrates scalable monorepo architecture for end-to-end AI interview product delivery.
Pieces in Play
Next.jsReactNode.jsPythonSupabaseOpenAIAzureVercelPostgreSQLWebRTC
⚔ Complications on the Board
- Consolidated multiple interview services into a maintainable monorepo with clear frontend, backend, and AI service boundaries.
- Resolved race conditions in session startup across voice relay and interview session orchestration.
- Built a production-ready proctoring server and integrated real-time AI cheating detection with backend evaluation services.
✦ Post-Game Analysis
- Monorepo structure simplifies cross-service development for complex AI-enabled products.
- Reliable voice relay and session initialization are critical for interview platform stability.
- A dedicated proctoring service combined with AI evaluation improves both security and user experience in interview workflows.
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