This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Preparing for interviews is notoriously draining. Developers and professionals spend hundreds of hours glued to screens grinding through static question banks and repetitive mock sessions.
AI Interview Simulator was built to solve this: a high-efficiency pair interviewer powered by open-source AI that delivers hyper-focused practice. Upload your resume or choose your field, run a realistic 5-minute drill, get instant answer coaching and model solutions, and **close your laptop to go touch grass.
The entire codebase is open-source: Practice job interviews with an AI powered by open-source LLMs via Groq. Get real questions, instant feedback, and a full performance report — free.
Built for Hacktoberfest 2026 Open-Source AI Challenge.
🌐 **Live Demo (Frontend)**: [https://ai-interview-simulator-nu-weld.vercel.app/](https://ai-interview-simulator-nu-weld.vercel.app/)
⚡ **Live API (Backend)**: [https://ai-interview-simulator-9v89.onrender.com/](https://ai-interview-simulator-9v89.onrender.com/)
multer and pdf-parse for in-memory resume extraction, deployed on Render.qwen/qwen3.8-27b) via high-speed Groq API for zero-latency question generation and structured JSON evaluations.
Open-source AI and open-weight models democratize career preparation:
Built with ❤️ for #hf26challenge!