An AI interviewer that talks to you in real time, adapts to your answers, grills you on your actual resume, and coaches you when you're stuck. Not flashcards. Real conversations.
Live Voice Session
AI Interviewer
Speaking...
2:34
Duration
The Problem
Confidence breaks. Filler words take over. One bad interview kills the motivation for the next one. The problem isn't knowledge — it's that there's no safe place to practice under real pressure.
Upload
PDF / DOCX
Parse
Extract text
Chunk
Split by section
Embed
3072-dim vectors
Interview
Voice AI grills you
Experience
Led a team of 5 engineers on the Search Ranking team at Google...
Skills
Python, TypeScript, React, Node.js, PostgreSQL, Redis, K8s...
Projects
Built a distributed task scheduler handling 100K concurrent jobs...
Resume → Chunks → Vectors → Voice AI
Resume-Powered
Your resume gets parsed into semantic chunks, embedded into 3072-dimensional vectors using Gemini, and indexed into Qdrant. The AI interviewer then pulls the most relevant sections and asks you targeted questions about YOUR projects, YOUR tech stack, YOUR claims.
Instant Feedback
After every session, Gemini evaluates your transcript and generates a detailed breakdown — composite score, communication clarity, technical accuracy, answer structure. Plus specific strengths and what to work on next.
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Communication
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Technical
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Structure
Session Complete
DSA · April 2026
Strengths
To Improve
Practice Modes
Pick your focus and the AI tailors every question to that discipline. DSA gets you algorithm problems. System Design asks you to architect at scale. JS Fundamentals tests your core knowledge. Behavioral probes your leadership stories. Each mode has its own questioning style.
Algorithms, data structures, time complexity. The classic coding interview.
Core JS, DOM manipulation, closures, async patterns, framework concepts.
Architecture, scalability, distributed systems, database design, trade-offs.
Leadership, teamwork, conflict resolution, project management stories.
"Can you explain the time complexity of your approach?"
"Um... so it's like... the array... uh..."
"No worries. Let's break it down. You're iterating through the array once — what does that tell you about the complexity?"
Coach Mode
When the AI detects hesitation — long pauses, filler words, or you saying "I'm stuck" — it immediately shifts from interviewer to coach. It helps you think through the problem from first principles, then guides you back to finish the answer. No judgment. Just growth.
This is what makes NeuralPrep different from reading questions off a screen. You build the muscle memory of recovering under pressure — the same skill you need in a real interview.
Progress Analytics
Every session feeds into your analytics dashboard. Track your confidence trajectory over weeks, see which disciplines you're strongest in, identify friction points that keep coming up, and get personalized recommendations on what to practice next.
Confidence Trajectory
Week-over-week score trends
Skill Radar
Strengths across all disciplines
Friction Points
Recurring weak areas flagged
Next Steps
AI-curated practice recommendations
Analytics Dashboard
Your Progress
0
Sessions
0/100
Avg Score
0
Best
Weekly Scores
By Discipline
AI Mentor
After every session, chat with an AI mentor that has read your full transcript, knows your scores, and understands your weak spots. Ask it why you scored low, how to improve a specific answer, or for a model response. It gives advice grounded in YOUR performance — not generic interview tips.
~ % mcp query progress
> Analyzing recent sessions...
You've improved in DSA by 15% this week. However, in your recent System Design mock, you struggled with CAP theorem trade-offs. I recommend reviewing database consistency models before your next session.
Developer Ready
NeuralPrep exposes a Model Context Protocol (MCP) server. Connect your favorite IDE or AI client directly to your interview data. Query your progress, identify your weaknesses, and analyze past sessions using natural language. No more clicking through dashboards — just ask "What do I need to work on for system design?"
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