The latest articles on DEV Community by VortexV7 (@vortexv7). https://dev.to/vortexv7 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1955096%2F5eb9554b-c49d-44c0-850d-eca0c8fd1274.png https://dev.to/vortexv7 en VortexV7 Tue, 23 Jun 2026 20:08:12 +0000 https://dev.to/vortexv7/i-built-a-desktop-ai-mock-interviewer-with-speech-code-editor-pdf-reports-282i https://dev.to/vortexv7/i-built-a-desktop-ai-mock-interviewer-with-speech-code-editor-pdf-reports-282i <h2> What I Built </h2> <p>A fully offline-capable Windows desktop app that simulates a real guided interview <br> session — from topic selection to a generated PDF performance report at the end.</p> <p>You pick your topic (Programming, CS Fundamentals, SQL, Behavioral, etc.), set <br> the difficulty, and the AI interviewer starts asking questions. You can answer <br> verbally or type code in the built-in editor. When the session ends, you get a <br> structured PDF with your scores, feedback, and recommended next steps.</p> <h2> Tech Stack </h2> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Layer</th> <th>Tech</th> </tr> </thead> <tbody> <tr> <td>UI</td> <td>Electron</td> </tr> <tr> <td>AI Engine</td> <td>Python</td> </tr> <tr> <td>Communication</td> <td>IPC (stdin/stdout)</td> </tr> <tr> <td>Speech-to-Text</td> <td>Groq Whisper</td> </tr> <tr> <td>LLM</td> <td>LLaMA 3 via Groq API</td> </tr> <tr> <td>PDF Generation</td> <td>ReportLab</td> </tr> <tr> <td>Packaging</td> <td>PyInstaller + electron-builder</td> </tr> </tbody> </table></div> <h2> Features I'm Proud Of </h2> <ul> <li> <strong>Live speech transcription</strong> — answer questions out loud, Whisper handles the rest</li> <li> <strong>Adaptive follow-up questions</strong> — the AI reads your answer and digs deeper</li> <li> <strong>Built-in code editor</strong> — for programming/DSA rounds</li> <li> <strong>Behavioural monitoring</strong> — tracks focus loss, face presence via camera, and filler words</li> <li> <strong>PDF report</strong> — per-question scores, structured feedback, next steps</li> </ul> <h2> Why Desktop + Local-First? </h2> <p>Most AI interview tools are web apps that store your data on their servers. <br> I wanted something that runs entirely on your machine. You bring your own <br> Groq API key — no accounts, no backend, no data leaving your PC.</p> <h2> Architecture: Electron + Python over IPC </h2> <p>The trickiest part was getting Electron and Python to talk reliably. <br> I went with stdin/stdout IPC — Electron spawns the Python process and <br> they communicate via structured messages. It's simple, cross-process, <br> and works well with PyInstaller packaging.</p> <h2> Research Background </h2> <p>This started as a final-year college project and was presented as a <br> research paper at <strong>ICRTSET-2026</strong> (April 2026).</p> <h2> GitHub </h2> <p>🔗 <a href="https://github.com/VortexV7/AI-Mock-Interview-Assistant" rel="noopener noreferrer">https://github.com/VortexV7/AI-Mock-Interview-Assistant</a></p> <p>The source is proprietary, but the README has architecture diagrams, <br> screenshots, and a full breakdown of the app flow.</p> <p>Happy to answer questions about any of the design decisions in the comments!</p> python electron ai career