Introduction: When Dong Mingzhu, Lei Jun, Musk and Trump become your interviewers
In today's highly competitive job search market, mock interview systems are becoming a secret weapon for developers to improve their competitiveness. But traditional mock interviews are too dull, so I developed a multi-style AI interviewer system that allows you to experience the unique experience of being "interviewed" by Dong Mingzhu, Lei Jun, Elon Musk and even Donald Trump.
👉 Visit the GitHub repository now
Technical Highlights
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Multi-style interviewer personality matrix
The system has four completely different interview styles:
| Interviewer | Style Features | Technical Implementation |
| ------ | ------------ | -------------- |
| Dong Mingzhu | Gree-style high-pressure questioning, paying attention to details | Strict status control + timing pressure test |
| Lei Jun | Xiaomi methodology, cost-effective thinking | Cost-benefit analysis algorithm |
| Elon Musk | First Principles Questioning | Physics Knowledge Graph Integration |
| Trump | "Apprentice"-style reality show | Dramatic event trigger | -
Enjoy the video demonstration
Project in-depth analysis
Core Technology Stack
Front-end: React + Vite + TailwindCSS
Voice Processing: WebRTC + Web Audio API
AI backend: Python FastAPI + Custom Prompt Engine
Deployment: Vercel + AWS Lambda
Innovative interactive design
The system implements three unique stress testing mechanisms:
Dong Mingzhu style: Continuously asking about details
"The data you mentioned is accurate to how many decimal places?"
Muskian: Interdisciplinary Challenge
"Explanation of this product design with the principle of rocket propulsion"
Trump-style: sudden situation
(Suddenly switched to the background to the conference room) "The board of directors is watching your performance"
Conclusion: Interviews have never been more fun****
This project is not only a tool, but also an exploration of future recruitment forms. Through technology, we make the job preparation process vivid and effective.
Or start your custom development by cloning the repository directly on GitHub! If you find the project interesting, don't forget to click ⭐support!
GitHub Stars