PrepPilot AI

AI-Powered Interview Preparation & Resume Optimization Platform

PrepPilot AI helps job seekers prepare for interviews by analyzing their resume, self-description, and target job description using Generative AI. The platform generates personalized interview reports, identifies skill gaps, predicts interview questions, provides model answers, and creates a tailored preparation roadmap.

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Features

Authentication & Security

• JWT-based Authentication
• HTTP-only Cookie Sessions
• Protected Routes
• User-specific Reports
• Secure Password Hashing using bcrypt

AI-Powered Interview Analysis

• Resume Analysis
• Job Description Analysis
• Candidate Profile Analysis
• Match Score Generation (0–100)

Technical Interview Preparation

• Predicted Technical Questions
• Interviewer's Intent Behind Each Question
• Suggested Answer Frameworks

Behavioral Interview Preparation

• Predicted Behavioral Questions
• Interviewer's Intent Behind the questions
• Structured Response Guidance

Skill Gap Analysis

• Missing Skill Detection
• Severity Classification
  • Low
  • Medium
  • High

Personalized Preparation Roadmap

• Day-wise Preparation Plan
• Focus Areas
• Actionable Tasks

Resume Optimization

• ATS-Friendly Resume Generation
• Job-Specific Resume Tailoring
• Professional PDF Export

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Tech Stack

Frontend

• React
• Vite
• React Router
• Context API
• Axios
• SCSS

Backend

• Node.js
• Express.js

Database

• MongoDB
• Mongoose

Authentication

• JWT
• Cookie-Based Authentication
• bcryptjs

AI Layer

• Gemini 3 Flash Preview
• Structured Output Generation
• Zod Schema Validation

Document Processing

• PDF Parsing
• Puppeteer PDF Generation

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System Architecture

User
 │
 ▼
React Frontend
 │
 ▼
Express API
 │
 ├── Authentication Layer
 │      └── JWT + Cookies
 │
 ├── Resume Processing
 │      └── PDF Parser
 │
 ├── Gemini AI Service
 │      └── Interview Analysis
 │
 ├── Resume Generator
 │      └── ATS Resume Creation
 │
 ▼
MongoDB

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AI Workflow

Resume Upload
       +
Self Description
       +
Job Description
       │
       ▼
Gemini 3 Flash Preview
       │
       ▼
Structured Interview Report
       │
       ├── Match Score
       ├── Technical Questions
       ├── Behavioral Questions
       ├── Skill Gaps
       ├── Preparation Plan
       └── Resume Optimization

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Interview Report Structure

Match Score

{
  "matchScore": 86
}

Technical Questions

{
  "question": "...",
  "intention": "...",
  "answer": "..."
}

Behavioral Questions

{
  "question": "...",
  "intention": "...",
  "answer": "..."
}

Skill Gaps

{
  "skill": "System Design",
  "severity": "high"
}

Preparation Plan

{
  "day": 1,
  "focus": "Data Structures",
  "tasks": [
    "Solve Array Problems",
    "Review HashMaps"
  ]
}

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Project Structure

PrepPilot-AI
│
├── Frontend
│   ├── public
│   ├── src
│   │   ├── features
│   │   │   ├── auth
│   │   │   └── interview
│   │   ├── App.jsx
│   │   ├── app.routes.jsx
│   │   ├── main.jsx
│   │   └── styles
│   └── package.json
│
├── Backend
│   ├── src
│   │   ├── config
│   │   ├── controllers
│   │   ├── middlewares
│   │   ├── models
│   │   ├── routes
│   │   └── services
│   ├── app.js
│   ├── server.js
│   └── package.json
│
└── README.md

Architecture Overview

• Frontend: Built with React and Vite using a feature-based architecture. Each feature (auth, interview) encapsulates its own pages, hooks, services, context, and styles for better scalability and maintainability.
• Backend: Built with Express.js following the MVC pattern, separating concerns through controllers, routes, models, services, middlewares, and configuration modules.
• Authentication: JWT-based authentication with protected routes and token blacklisting support.
• AI Integration: Interview analysis and feedback are handled through a dedicated AI service layer.
• Database: MongoDB is used for storing user accounts and interview reports.

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Environment Variables

Backend

PORT=3000

MONGODB_URI=your_mongodb_connection_string

JWT_SECRET=your_jwt_secret

GOOGLE_GENAI_API_KEY=your_google_genai_api_key

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Installation

Clone Repository

git clone https://github.com/16niraj/PrepPilot-AI.git

Backend Setup

cd Backend

npm install

npm run dev

Frontend Setup

cd Frontend

npm install

npm run dev

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API Endpoints

Authentication

Method	Endpoint
POST	/api/auth/register
POST	/api/auth/login
POST	/api/auth/logout
GET	/api/auth/get-me

Interview Reports

Method	Endpoint
POST	/api/interview
GET	/api/interview
GET	/api/interview/report/:interviewId

Resume Generation

Method	Endpoint
POST	/api/interview/resume/pdf/:id

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Screenshots

Dashboard

Interview Report Generation page

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Future Improvements

• Mock Interview Simulator
• Voice-Based Interview Practice
• Real-Time Feedback
• Company-Specific Interview Preparation
• Multi-Resume Management
• Interview Performance Tracking
• Cover Letter Generation
• LinkedIn Profile Optimization

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Deployment

Frontend

Vercel

Backend

Render

Database

MongoDB Atlas

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Why I Built This

Preparing for interviews typically requires multiple tools for resume optimization, interview preparation, and skill assessment.

PrepPilot AI combines these workflows into a single platform by leveraging Generative AI to provide personalized, actionable interview preparation guidance.

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Author

Niraj Kumar, CSE, IIT Gnadhinagar

Built using React, Express, MongoDB, and Gemini AI.