Interview AI

Interview AI is a full-stack web app that generates personalized interview preparation reports from a target job description and a candidate resume/profile. It uses a React frontend, an Express/MongoDB backend, and Google Gemini to create technical questions, behavioral questions, skill-gap analysis, a day-wise preparation roadmap, and a tailored resume PDF.

Features

• User registration, login, logout, and cookie-based authentication
• AI-generated interview reports based on resume, self-description, and job description
• Match score for the target role
• Technical and behavioral interview questions with answer guidance
• Skill-gap analysis with severity levels
• Day-wise preparation roadmap
• Recent interview report history
• AI-generated tailored resume PDF download

Tech Stack

Frontend

• React
• Vite
• React Router
• Axios
• Sass

Backend

• Node.js
• Express
• MongoDB with Mongoose
• JWT authentication
• Multer file uploads
• Google GenAI SDK
• Puppeteer for PDF generation

Project Structure

.
+-- Backend
|   +-- server.js
|   +-- package.json
|   +-- src
|       +-- app.js
|       +-- config
|       +-- controllers
|       +-- middlewares
|       +-- models
|       +-- routes
|       +-- services
+-- Frontend
    +-- package.json
    +-- index.html
    +-- src
        +-- App.jsx
        +-- app.routes.jsx
        +-- features
        +-- style.scss

Prerequisites

• Node.js
• MongoDB database connection string
• Google GenAI API key

Environment Variables

Create a .env file inside the Backend folder:

MONGO_URI=your_mongodb_connection_string
JWT_SECRET=your_jwt_secret
GOOGLE_GENAI_API_KEY=your_google_genai_api_key

Installation

Install backend dependencies:

cd Backend
npm install

Install frontend dependencies:

cd ../Frontend
npm install

Running Locally

Start the backend server:

cd Backend
npm run dev

The backend runs on:

http://localhost:3000

Start the frontend development server:

cd Frontend
npm run dev

The frontend runs on:

http://localhost:5173

Usage

1. Register or log in.
2. Paste the target job description.
3. Upload a resume PDF and/or enter a short self-description.
4. Generate the interview strategy.
5. Review the match score, interview questions, skill gaps, and preparation roadmap.
6. Download a tailored resume PDF for the selected interview report.

API Routes

Auth

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

Interview Reports

POST /api/interview/
GET  /api/interview/
GET  /api/interview/report/:interviewId
POST /api/interview/resume/pdf/:interviewReportId

Notes

• The frontend expects the backend to be available at http://localhost:3000.
• The backend CORS config allows requests from http://localhost:5173.
• Resume parsing currently uses PDF parsing on the backend, so PDF uploads are the safest supported format.