I Built HirePilot: An Open-Source AI Career Copilot That Runs Locally 🚀
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built What if preparing for a job interview didn't mean juggling five different tools? Meet HirePilot AI 🚀 — an open-source, local-first AI career copilot that helps candidates go from a job description to an interview preparation plan. Here's the workflow: 📄 Upload your resume + paste the job…
This article is about the development of HirePilot AI, an open-source, privacy-focused career preparation platform created by Alliet Software Labs. The platform utilizes local AI inference to analyze resumes, generate tailored resumes, research companies, and develop interview preparation plans, all without sending user's sensitive data to third-party cloud servers.
The key features and architecture of HirePilot include:
- Local inference with Google's Gemma 3 4B model via Ollama
- Frontend built with React 19, TypeScript, Vite, Tailwind CSS, and Lucide React
- Backend built with Python, FastAPI, Pydantic, and HTTPX
- Local progress tracking, resume editing, and preparation checklists
- Privacy by design, no mandatory per-request LLM fees, and the freedom to experiment with different locally installed models
HirePilot aims to provide affordable, privacy-prioritized career preparation tools to students, fresh graduates, job seekers, and professionals. The platform's release under the MIT License opens the opportunity for collaboration and contributions from the open-source community.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
