Interview AI – GenAI Interview Preparation System

A full-stack AI-powered platform that analyzes a candidate’s resume against a target job description to generate personalized interview strategies, skill gap insights, and preparation roadmaps.

Upload your resume and a targeted job description and the app generates an interview strategy report including:

• Match score between your profile and the role
• Skill gaps (what’s missing / needs improvement)
• Technical questions an interviewer may ask for that role
• Behavioral questions tailored to the job expectations
• A roadmap / preparation plan to close gaps efficiently

The project is built as a full-stack app (React + Node/Express) and uses a GenAI model (Google GenAI) to produce structured, validated outputs (to reduce hallucinations and keep results consistent).

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✨ Features

• 📄 Resume + Job Description Analysis

  • Extracts and understands structured data from resumes (PDF)
  • Compares with job requirements to evaluate alignment

• 📊 Match Score & Skill Gap Detection

  • Computes relevance between candidate profile and job role
  • Identifies missing skills and improvement areas

• 🧠 AI-Generated Interview Preparation

  • Technical Questions tailored to the role
  • Behavioral Questions based on profile context
  • Preparation Roadmap for targeted improvement

• 🤖 Structured GenAI Output

  • Ensures consistent, validated AI responses
  • Avoids hallucinations via controlled prompting

• 🔐 Authentication System

  • Secure login/signup with JWT-based authentication

• 📁 File Upload & Parsing

  • Resume upload using Multer
  • PDF parsing via pdf-parse

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🏗️ Architecture Overview

Frontend (React + Vite)
↓
Backend (Express API)
↓
Services Layer (AI + Processing)
↓
MongoDB (User + Data Storage)

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Demo flow

1. User signs up / logs in
2. User uploads a resume + job description
3. Backend analyzes both and generates:
   • match score
   • skill-gap analysis
   • technical questions
   • behavioral questions
   • preparation roadmap

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🛠️ Tech Stack

Frontend

• React
• Vite
• Axios
• React Router

Backend

• Node.js
• Express
• MongoDB + Mongoose
• JWT Authentication
• Zod (validation)

AI & Processing

• Google GenAI (@google/genai)
• PDF parsing (pdf-parse)
• File uploads (Multer)
• Optional automation (Puppeteer)

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⚙️ Setup

Backend

cd Backend
npm install

Create .env:

MONGO_URI=your_db_uri
JWT_SECRET=your_secret
GOOGLE_GENAI_API_KEY=your_key

Run:

npm run dev

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Frontend

cd Frontend
npm install
npm run dev

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📡 API Overview

• POST /api/auth/... → authentication
• POST /api/interview/analyze → resume + JD analysis
• GET /api/interview/result/:id → fetch results

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🧠 Key Learning Outcomes

• Designing AI-powered backend systems
• Prompt engineering for structured outputs
• Handling AI hallucination control
• Integrating GenAI into real-world workflows
• Building end-to-end full-stack applications

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🚧 Future Improvements

• Real-time mock interview (chat-based)
• Voice-based interview simulation
• Resume auto-optimization for ATS
• Better scoring algorithm (ML-based)