Submission by OpsCode

Most candidates don't fail tech interviews because they lack knowledge they fail because the pressure of someone sitting across from them makes everything they know disappear. Confidence breaks, answers get jumbled, and one bad interview kills the motivation to even try the next one. The real problem isn't preparation it's that there's no safe space to practice under real pressure without being judged. NeuralPrep fixes this by creating a personalized, voice-based interview environment where candidates can practice as many times as they need without fear. Upload your resume, and the system parses it, chunks it into semantic sections, embeds it using Gemini, and indexes it into Qdrant then an ElevenLabs Conversational AI agent grills you on your actual experience over a live WebRTC voice session. It's not generic flashcard prep. The AI references your specific projects, challenges your claims, and adapts its questioning based on your responses. When it detects you're stuck silence, filler words, hesitation it shifts from interviewer to coach, helps you recover, and builds your confidence back up in the same session. After every session, you get instant AI-scored feedback on communication, technical depth, and structure, plus an AI mentor that reviews your history and gives targeted coaching. ElevenLabs made the voice layer possible Conversational AI with dynamic variables means the agent knows your name, your resume, your weak spots, and adjusts in real time. Kiro made the development process structured 7 specs drove the entire build through requirements, design, and tasks, while agent hooks automated commits and health checks, steering kept conventions tight, and the ElevenLabs Power plus Postman MCP handled integrations without leaving the IDE.