AI Interview Trainer

Practice for

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.

Free to use · No credit card

Live Voice Session

LIVE

AI Interviewer

Speaking...

2:34

Duration

The Problem

You know the answers. But when someone's sitting across from you, everything disappears.

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.

AI Research

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

Upload your resume.
Get grilled on it.

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.

Drag-and-drop PDF or DOCX upload
Parsed and chunked by section — experience, skills, projects
Embedded with Gemini and indexed into Qdrant vectors
AI references your specific experience in real time

Instant Feedback

Know exactly where
you stand.

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.

0%

Communication

0%

Technical

0%

Structure

Session Complete

DSA · April 2026

Resume Mode
0/100
Communication82%
Technical71%
Structure68%

Strengths

Clear problem breakdown
Good use of examples

To Improve

Use O(n) notation
Mention edge cases

Practice Modes

Four disciplines.
One platform.

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.

Adaptive difficulty — adjusts based on your answers
Voice-first — speak naturally, no typing
Scores tracked per discipline over time

DSA

Algorithms, data structures, time complexity. The classic coding interview.

JavaScript

Core JS, DOM manipulation, closures, async patterns, framework concepts.

System Design

Architecture, scalability, distributed systems, database design, trade-offs.

Behavioral

Leadership, teamwork, conflict resolution, project management stories.

Growth

"Can you explain the time complexity of your approach?"

"Um... so it's like... the array... uh..."

Coach Mode Activated

"No worries. Let's break it down. You're iterating through the array once — what does that tell you about the complexity?"

Coach Mode

Stuck on a question?
The AI switches gears.

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

See your growth.
Session by session.

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% this month
Analytics

0

Sessions

0/100

Avg Score

0

Best

Weekly Scores

W1W2W3W4W5W6W7

By Discipline

DSA
78
System Design
71
Behavioral
82
Session Mentor
Why did I score low on technical depth?
You identified the right approach but missed the time complexity analysis. When you said "all of one complexity" interviewers want to hear "O(1)" specifically. Here's a model answer...
How should I structure my answer next time?

AI Mentor

Coaching that
remembers you.

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.

Reads your full session transcript
Knows your scores and weak areas
Renders markdown — code blocks, structured feedback, model answers
MCP HostClaudeCURSORYourAppMCP ClientMCP ClientMCP ClientMCP ServerMCP ServerMCP ServerPrivate AppAPIsSome DatabasePublic WebAPIsJSON-RPCJSON-RPCJSON-RPCRESTREST/SQLREST

~ % 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

Connect via MCP.
Talk to your data.

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?"

Query your stats via natural language
Integrates with Claude Desktop, Cursor, and more
Analyze specific answers from your terminal

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