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Dev.to
6/23/2026
I Built a Desktop AI Mock Interviewer with Speech, Code Editor & PDF Reports

I Built a Desktop AI Mock Interviewer with Speech, Code Editor & PDF Reports

Short summary

Developer built a fully offline desktop mock interview app using Electron and Python, featuring live speech recognition via Groq Whisper, adaptive AI follow-ups with LLaMA 3, built-in code editor for DSA rounds, and PDF reports with behavioral scoring. Key differentiator: privacy-first architecture stores no data on servers, unlike web-based interview tools.

  • •Offline-first desktop app for interview prep with live speech recognition and adaptive AI questions
  • •Tech stack: Electron (UI), Python (engine), Groq Whisper (STT), LLaMA 3 (LLM), ReportLab (PDF reports)
  • •Privacy-focused alternative to web-based interview tools; includes behavioral monitoring and per-question scoring

Generated with AI, which can make mistakes.

#ai-tools#ai-agents#certification-education#product-launch
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