# VirtualMentor: The AI Voice Coach That Takes Your Interview Prep Outdoors published: true > Source: > Published: 2026-10-10 03:15:42+00:00 *This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass](https://dev.to/challenges/hacktoberfest-week1-2026-10-05)* Preparing for technical and behavioral interviews often means being chained to a desk for 8+ hours a day—staring at problem sets, doomscrolling forum threads, and burning out in isolation. **VirtualMentor** turns interview preparation inside out. Instead of another static coding test on a bright screen, it acts as an **audio-first conversational sparring partner** designed specifically for hands-free, outdoor walks. By untethering job seekers from their desks, VirtualMentor lets engineers and students practice system design explanations, behavioral storytelling (STAR method), and rapid technical questions while literally **touching grass**. **Who it's for:** The project is fully open-source. Check out the repository for the full-stack codebase, API routes, and prompt pipelines: *([https://github.com/AnuragYadav9219/pitchPilot](https://github.com/AnuragYadav9219/pitchPilot)) VirtualMentor is built around an open-source, local/self-hosted AI pipeline prioritizing low latency, natural conversational cadence, and privacy: **Accessibility for Every Candidate:** Closed commercial APIs charge heavy per-token and per-minute audio costs that quickly price out students and unemployed job seekers. Open weights and local inference make high-repetition verbal drills practically free to run. **Privacy on Sensitive Career Data:** Candidates discuss personal stories, career gaps, failures, and previous proprietary projects. Open-source deployment guarantees user audio and transcripts never feed proprietary training loops. **Modularity & Offline Independence:** Open weights allow local quantization, enabling developers to run localized interview engines on-device without tethering to constant cloud API uptime.