InterviewIQ is an AI-powered interview preparation platform designed to simulate real interview experiences through intelligent mock interviews, resume analysis, voice interaction, and performance tracking.
Built using the MERN stack, the platform helps users improve technical and communication skills with AI-generated questions, detailed feedback, analytics, and a secure credit-based system.
- 📄 Resume Upload & PDF Analysis
- 🤖 AI-Generated Interview Questions
- 🎤 Technical & HR Mock Interviews
- 🗣️ AI Voice Interaction
- 📊 Interview Performance Analytics
- ⭐ Question-wise Ratings & Feedback
- 📈 Progress Tracking with Charts
- 📥 Downloadable Interview Reports
- ⏱️ Real-time Interview Timer
- 💳 Credit-Based Usage System
- 💰 Razorpay Payment Integration
- 🔐 Firebase Google Authentication
- 🎨 Smooth UI Animations
- 🌍 Fully Deployed Full Stack Application
- React.js
- Redux Toolkit
- Tailwind CSS
- Framer Motion
- Node.js
- Express.js
- MongoDB
- Mongoose
- Firebase Authentication
- Razorpay Payment Gateway
- AI SaaS Product Development
- Full Stack MERN Architecture
- Authentication & Authorization
- REST API Development
- Payment Gateway Integration
- Credit Management System
- AI Workflow Integration
- State Management
- Production Deployment
- Real-world Problem Solving
🔗 https://ai-interview-agent-client-5ow4.onrender.com/
- Handling AI-generated responses
- Managing voice interaction workflows
- Razorpay payment integration
- Authentication & session handling
- Deployment & environment configuration
- Complex frontend state management
These challenges improved my debugging, backend architecture, and full-stack development skills.
- AI-generated interview summaries
- Multi-language interview support
- Advanced analytics dashboard
- Dark mode support
- Interview recording & playback
Shiva Rajak
- Full Stack Developer
- MERN Stack Developer
- AI Enthusiast
If you like this project, feel free to give it a ⭐ on GitHub.