InterviewIQ is a full-stack MERN application designed to help job seekers prepare for interviews effectively through an interactive and user-friendly platform. The application provides a centralized space for interview preparation, skill enhancement, and career growth.
https://three-interviewiq-m3hf.onrender.com
InterviewIQ aims to simplify interview preparation by providing users with a structured platform to practice, learn, and track their progress. The platform is built using the MERN stack and follows modern web development practices to ensure scalability, security, and performance.
Whether preparing for technical interviews, behavioral rounds, or placement drives, InterviewIQ offers an engaging experience to improve confidence and readiness.
- 🔐 Secure User Authentication & Authorization
- 👤 User Profile Management
- 📊 Personalized Dashboard
- 💡 Interview Preparation Resources
- 🎯 Mock Interview Experience
- 📱 Fully Responsive Design
- ⚡ Fast and Interactive User Interface
- 🔄 REST API Integration
- ☁️ Cloud Deployment Support
- 🛡️ JWT-Based Authentication
- React.js
- JavaScript (ES6+)
- HTML5
- CSS3
- Node.js
- Express.js
- MongoDB
- JWT (JSON Web Tokens)
- Render
InterviewIQ/
│
├── client/ # React Frontend
│
├── server/ # Node.js & Express Backend
│
└── README.mdgit clone https://github.com/tushar-342/3.interviewIQ.gitcd 3.interviewIQcd server
npm install
npm startcd client
npm install
npm run devCreate a .env file inside the server directory and configure:
PORT=5000
MONGODB_URI=your_mongodb_connection_string
JWT_SECRET=your_secret_keyThrough this project, I gained practical experience in:
- Full-Stack Web Development
- RESTful API Development
- Authentication & Authorization
- MongoDB Database Management
- Frontend-Backend Integration
- Deployment and Hosting
- MERN Stack Architecture
- AI-Based Interview Feedback
- Resume Analysis
- Coding Interview Practice
- Real-Time Video Mock Interviews
- Interview Performance Analytics
- Company-Specific Question Banks
Tushar Kumar
GitHub: https://github.com/tushar-342
If you found this project useful, consider giving it a ⭐ on GitHub to support future development.