MockQuero is an intelligent job interview preparation platform designed to help candidates practice and enhance their interview skills through realistic mock interviews, personalized feedback, and performance insights.
- 🎤 AI-Powered Mock Interviews – Simulate real-world interview scenarios with domain-specific questions.
- 📊 Performance Feedback – Get detailed feedback and tips for improvement after each mock session.
- 🧠 Question Bank – Wide range of technical and HR questions tailored to job roles (Software Dev, Data Analyst, etc.).
- 🌐 Web-Based Interface – Intuitive and responsive interface for easy access from any device.
- 📁 Session History – Review your previous answers, scores, and growth over time.
- Frontend: HTML5, CSS3, JavaScript
- Backend: Node.js, Express.js (or any other if applicable)
- Database: MongoDB (optional if used)
- AI/ML: GPT API (or Gemini, if used) for question generation and evaluation
git clone https://github.com/pkprajapati7402/MockQuero.git
cd MockQuero
npm install
npm startMake sure to set up your environment variables for any API keys (if required).
- Launch the application.
- Choose a role and domain (e.g., Frontend Developer, Data Scientist).
- Start the mock interview session.
- Receive real-time questions and submit your responses.
- Get feedback and tips for improvement.
- All responses are locally stored unless connected to a backend.
- End-to-end encryption can be added for storing sensitive interview data.
- ✅ Voice-to-text support for verbal responses.
- ✅ Integration with LinkedIn for importing job profiles.
- ✅ Personalized question recommendations based on past performance.
Contributions are welcome! If you have ideas for new features or want to report bugs, feel free to:
- Fork the repository
- Create a new branch
- Submit a Pull Request
Geoffrey (pkprajapati7402)
🔗 GitHub
This project is licensed under the MIT License - see the LICENSE file for details.
MockQuero – Practice smart. Perform better. Land your dream job.