🎯 InterviewLens AI

AI-Powered Interview Failure Analyzer & Personalized Interview Coach

InterviewLens AI is a full-stack MERN application that analyzes interview performance using AI. It compares a candidate's Resume, Job Description, and Interview Responses to identify weaknesses, missing skills, recruiter expectations, and provides an actionable improvement roadmap.

🚀 Live Demo

🌐 Frontend: https://interviewlens-ai.netlify.app/

💻 Backend API: https://interviewlens-ai.onrender.com

📦 Dockerized: Multi-stage Docker setup for frontend (Nginx) and backend (Node.js + Express) using Docker Compose.

⭐ Key Highlights

🤖 AI-powered Interview Performance Analyzer
📄 Resume vs Job Description Skill Gap Analysis
📊 Analytics Dashboard with Performance Tracking
📚 AI-generated Practice Questions & Model Answers
🗺️ Personalized 7-Day Improvement Roadmap
🔐 JWT Authentication & Email OTP Recovery
📑 Downloadable PDF Interview Reports
🐳 Fully Dockerized (Docker + Docker Compose + Nginx)
☁️ Deployed using Netlify, Render & MongoDB Atlas

Screenshots

📌 Problem Statement

Many candidates fail interviews without understanding why they were rejected.

InterviewLens AI bridges this gap by providing:

Resume vs Job Description analysis
Interview answer evaluation
Recruiter-style feedback
AI-generated practice questions
Personalized improvement roadmap

✨ Features

🔐 Authentication

JWT Authentication
Secure Login & Signup
Forgot Password via Email OTP
Protected Routes

📄 Resume Processing

Upload Resume (PDF)
Paste Resume Manually
Resume Parsing
Resume Storage

💼 Interview Analysis

Analyze interviews using:

Resume
Job Description
Questions & Answers

AI generates:

✅ Interview Readiness Score
✅ Pass Probability
✅ Strengths
✅ Weaknesses
✅ Missing Skills
✅ Interview Mistakes
✅ Recruiter Insights
✅ Personalized Feedback

🗺️ 7-Day Improvement Roadmap

Personalized roadmap generated by AI:

Day 1
Day 2
Day 3
Day 4
Day 5
Day 6
Day 7

🎯 AI Practice Questions

Based on interview performance, InterviewLens AI generates:

Personalized Interview Questions
AI Model Answers
Practice Suggestions

📈 Analytics Dashboard

Track interview performance over time.

Includes:

Total Interviews
Average Score
Best Score
Improvement Percentage
Score Trend Graph

📚 Interview History

Every interview is saved automatically.

Features include:

View Previous Analyses
Generate AI Answers Again
Download PDF Report
Delete History
Performance Tracking

📄 PDF Report Generation

Download complete interview reports containing:

Interview Score
Probability
Strengths
Weaknesses
Missing Skills
Mistakes
Roadmap
Practice Questions

👤 Profile Dashboard

Displays:

User Details
Total Interviews
Average Score
Best Score
Overall Improvement

📱 Responsive Design

Fully responsive across:

Desktop
Tablet
Mobile

Built using Tailwind CSS.

🛠️ Tech Stack

🎨Frontend

React.js
React Router DOM
Tailwind CSS
Axios
Recharts
React Icons
React Toastify

⚙️Backend

Node.js
Express.js
JWT Authentication
bcrypt.js
Multer
Nodemailer
Groq API
Docker
Docker Compose

🗄️Database

MongoDB
Mongoose

🧠AI Integration

Groq API (Llama Model)

Used for:

Interview Analysis
Feedback Generation
Skill Gap Detection
Roadmap Generation
Practice Questions
Model Answers

🐳 DevOps

Docker
Docker Compose
Nginx

☁️ Deployment

Frontend:

Netlify

Backend:

Render

Database:

MongoDB Atlas

Containerization:

Docker
Docker Compose

Web Server:

Nginx

📂 Project Structure

InterviewLens-AI/
│
├── client
│   ├── Dockerfile
│   ├── nginx.conf
│   ├── src/
│   │   ├── components/
│   │   ├── pages/
│   │   ├── utils/
│   │   ├── App.jsx
│   │   └── main.jsx
│
├── server
│   ├── Dockerfile
│   ├── controllers/
│   ├── routes/
│   ├── middleware/
│   ├── models/
│   ├── utils/
│   ├── config/
│   └── server.js
│
├── docker-compose.yml
│
└── README.md

🏗️ Architecture

        React + Tailwind CSS
                 │
                 ▼
          Axios REST API
                 │
                 ▼
     Express.js + Node.js
                 │
      ┌──────────┴──────────┐
      ▼                     ▼
 MongoDB Atlas         Groq AI API
      │                     │
      └──────────┬──────────┘
                 ▼
      AI Interview Analysis

🔌 API Overview

Method	Endpoint	Description
POST	`/api/auth/signup`	Register User
POST	`/api/auth/login`	Login User
POST	`/api/analyze`	Analyze Interview
POST	`/api/upload-resume`	Upload Resume
GET	`/api/history`	Interview History
GET	`/api/analytics`	Analytics Dashboard

⚙️ Installation

Clone Repository

git clone https://github.com/aakanshimalik/InterviewLens-AI.git

cd interviewlens-ai

Install Frontend

cd client

npm install

npm run dev

Install Backend

cd server

npm install

npm run dev

🐳 Docker Support

InterviewLens AI is fully containerized for consistent local development and production deployment.

Run using Docker

docker compose up --build

Application URLs:

Service	URL
Frontend	http://localhost:5173
Backend	http://localhost:5000

Stop containers:

docker compose down

Docker Features

Multi-stage frontend build
Nginx production server
Backend container with Express.js
Docker Compose orchestration
Environment variable support

🔑 Environment Variables

Create a .env file inside the server folder.

PORT=5000

MONGO_URI=YOUR_MONGODB_URL

JWT_SECRET=YOUR_SECRET_KEY

GROQ_API_KEY=YOUR_GROQ_KEY

EMAIL_USER=YOUR_EMAIL

EMAIL_PASS=YOUR_APP_PASSWORD

Demo Credentials

Create your own account using Signup.

📊 Future Improvements

AI Mock Interview (Voice)
Speech Analysis
Facial Emotion Detection
ATS Resume Scoring
Recruiter Dashboard
Company-wise Interview Preparation
Multi-language Support
AI Career Advisor
Interview Performance Comparison

🎓 Key Learning Outcomes

MERN Stack Architecture
RESTful API Design
JWT Authentication & Authorization
AI API Integration
Resume Parsing
MongoDB Data Modeling
Docker & Containerization
Production Deployment
Responsive UI Development
Analytics Dashboard Design
PDF Report Generation

👩‍💻 Author

Aakanshi Malik

📧 Email: aakanshimalik54@gmail.com

💼 LinkedIn: https://www.linkedin.com/in/aakanshi-malik-996738298

💻 GitHub: https://github.com/aakanshimalik

📄 License

This project is licensed under the MIT License.

⭐ If you like this project...

Give this repository a ⭐ Star and feel free to fork it!

Name		Name	Last commit message	Last commit date
client		client
server		server
LICENSE		LICENSE
README.md		README.md
docker-compose.yml		docker-compose.yml

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