InterviewIQ

AI-powered mock interview platform for realistic, personalized technical and HR interview practice.

🚀 Overview

InterviewIQ is a full-stack AI-powered interview platform that simulates realistic technical and HR interviews.

Users can upload their resume, select a target role, experience level, and interview mode to receive personalized AI-generated questions. Responses are evaluated using multiple performance metrics, followed by detailed feedback and performance reports.

The platform also features a credit-based SaaS model with Razorpay integration for purchasing additional interview credits.

🎯 Why I Built It

Traditional interview preparation often relies on static question banks with limited personalized feedback.

InterviewIQ was built to provide a more realistic and adaptive experience by combining:

Resume-based personalization
Role-specific interview questions
AI-powered response evaluation
Performance analytics
Interview history

✨ Key Features

🤖 AI-Powered Interviews — Personalized technical and HR questions based on role, experience, and resume.
📄 Resume Analysis — Extracts relevant information from uploaded PDF resumes.
🧠 AI Response Evaluation — Analyzes correctness, communication, confidence, and overall response quality.
📊 Performance Reports — Provides question-wise scores, feedback, and overall performance.
📚 Interview History — Review previous interviews and track performance.
💳 Credit-Based SaaS — Interview sessions consume credits.
💰 Razorpay Payments — Securely purchase additional interview credits.
🔐 Secure Authentication — JWT authentication with HTTP-only cookies.
📄 Report Export — Generate downloadable interview reports.
📱 Responsive UI — Optimized for different screen sizes.

🏗️ Architecture

                    React + Vite
                         │
                     REST API
                         │
                         ▼
                 Node.js + Express
                  /            \
                 /              \
                ▼                ▼
           MongoDB          OpenRouter
           Database          GPT-4o-mini
                                 │
                                 ▼
                    Question Generation
                    & Answer Evaluation

                  React Application
                         │
                         ▼
                      Razorpay

🛠️ Tech Stack

Frontend: React.js, Vite, Tailwind CSS, Redux Toolkit, React Router, Axios, Framer Motion, Recharts, Firebase, jsPDF

Backend: Node.js, Express.js, MongoDB, Mongoose, JWT, Multer, PDF.js

AI & Payments: OpenRouter API, GPT-4o-mini, Razorpay

Deployment: Vercel, Render, MongoDB Atlas

🔑 Technical Highlights

Built a full-stack MERN-based SaaS application.
Integrated LLM APIs for dynamic question generation and response evaluation.
Implemented resume PDF parsing for personalized interviews.
Developed JWT-based authentication with HTTP-only cookies.
Built a credit-based monetization system with Razorpay.
Added performance analytics and downloadable reports.
Deployed frontend, backend, and database using cloud infrastructure.

🌐 Deployment

Frontend: Vercel
Backend: Render
Database: MongoDB Atlas