tool

Interview Coach

AI-powered CLI interview simulator for realistic interview practice and performance evaluation.

Practice interviews directly from your terminal.

A developer-focused CLI that generates realistic interview questions, evaluates answers, tracks progress, and delivers detailed interview reports across technical and non-technical roles.

AI
CLI
Open Source
GROQ
Career Tools
Interview Coach

Featured Project

Interview Coach

Project Resources

Explore live deployments, documentation, and source code.

CLI

Platform

POC

Stage

Role Agnostic

Interview Types

Automated

Reports

Problem

Interview preparation is often inconsistent and difficult to practice realistically.

Most candidates either rely on static question banks or expensive coaching services. Real interview simulations with meaningful feedback remain inaccessible for many learners.

Lack of Realistic Practice

Traditional interview preparation resources rarely simulate the pressure, structure, and progression of a real interview experience.

Limited Feedback

Candidates often have no reliable way to evaluate the quality of their answers or identify knowledge gaps.

Role-Specific Challenges

Interview preparation differs significantly across professions, making generic question banks less effective.

Capabilities

Structured AI-driven interview simulations.

Role-Aware Interviews

Generates realistic interview questions tailored to the selected role and experience level.

Answer Evaluation

Evaluates responses using structured scoring, verdicts, strengths, improvement areas, and ideal answers.

Interactive CLI Experience

Provides a polished terminal-first workflow with guided prompts, progress indicators, and formatted reports.

Session Persistence

Stores interview sessions locally, allowing reports and results to be reviewed after completion.

Detailed Reporting

Generates comprehensive performance summaries with question-level insights and recommendations.

Open Source & Extensible

Built with modular architecture, making it easy to support new providers, evaluation strategies, and interview formats.

Install

Install globally via npm.

Run realistic interview simulations directly from your terminal using npm or npx.

install
npm install -g interview-coach

Technology

Built with

Node.js
Commander
Inquirer
GROQ API
Webpack
Zod

Architecture

Structured interview evaluation pipeline.

A modular workflow that generates questions, evaluates responses, persists sessions, and produces detailed interview reports.

01

Interview Configuration

Role, experience level, question count, and optional API configuration provided through CLI commands.

02

Question Generation

Role-specific prompts generate structured interview questions with expected discussion topics.

03

Answer Evaluation

Responses are assessed for correctness, completeness, clarity, and practical understanding.

04

Reporting Layer

Scores, feedback, strengths, improvements, and interview summaries are rendered into detailed reports.

Evolution

Project evolution.

Interview Simulation Prototype

Started as a proof of concept exploring structured interview generation through LLM workflows.

Evaluation Engine

Added scoring, verdicts, strengths, improvements, and ideal-answer generation.

Persistent Sessions

Introduced local session storage and report generation for post-interview analysis.

CLI Productization

Packaged as an open-source npm CLI with professional UX, reporting, and extensibility.