JobPrep AI

An AI assistant that helps you prepare for technical and behavioral interviews.

Try It Live →

The Problem

Interview prep is stressful, scattered, and generic.

😰

High Pressure

Interviews are unpredictable and hard to prepare for

🤷

No Direction

Candidates don't know what to study

😶

Hard to Practice

Structuring clear answers takes real repetition

📄

Generic Resources

Most prep content isn't tailored to your role

The Solution

Personalized prep, generated in seconds.

🎯

Targeted Questions

Practice questions based on the specific role

📚

Study Plan

Key topics organized so nothing gets missed

🗂️

Answer Frameworks

Structured guidance for clear, confident responses

⚙️

Technical + Behavioral

Covers both sides of the interview

See It in Action

Tell it the role. It builds your prep plan.

You I have an embedded systems interview next week. Help me prepare.
JobPrep AI
  • Key topics: memory management, interrupts, drivers, debugging
  • 5 likely technical questions with answer outlines
  • 3 behavioral questions with STAR framework
  • Day-by-day study plan for the week

How It Works

Three steps. No signup.

1

Share the Role

Tell it the job, company, or interview type

2

Get a Plan

Receive topics, questions, and prep guidance

3

Practice

Iterate on answers until you're confident

About This Project

Objective Build a practical AI-powered tool that helps users prepare for technical and behavioral interviews with personalized, role-specific guidance.
Process Designed the prompt architecture, tested it across multiple interview scenarios (embedded systems, software engineering, data science), and refined outputs until they felt like real coaching.
Tools OpenAI GPT, prompt engineering, iterative testing, and web interface design.
Value Demonstrates how generative AI can be shaped into user-focused products through careful prompt design — turning a raw language model into something genuinely useful.
Relevance Applied prompt engineering is a critical skill for building AI-powered applications. This project shows the full cycle from concept to working product.