This project provides a privacy-first, local résumé builder that leverages Large Language Models (LLMs) and Markdown to generate Applicant Tracking System (ATS)-ready DOCX files. It's designed for job seekers who want to create professional résumés without relying on cloud services or exposing their personal data.

How It Works

The application utilizes a Docker Compose setup for easy deployment, comprising a frontend and a backend service. The backend interacts with a specified LLM API (e.g., Ollama) to process user input and job descriptions, generating ATS-friendly résumé content. This content is then converted to DOCX format using Pandoc, with all outputs saved locally.

Quick Start & Requirements

• Primary install / run command: docker-compose up --build
• Prerequisites: Docker, Docker Compose.
• Backend requires environment variables for CORS_ORIGIN, LLM_URL, MODEL_NAME, and PORT.
• Output is saved to the local ./output directory.

Highlighted Details

• Local and privacy-first operation, no cloud tracking.
• Generates ATS-ready DOCX files.
• Leverages LLMs for content generation.
• Uses Pandoc for document conversion.

Maintenance & Community

A new version is under development in the kanban-board folder, which aims to integrate résumé generation with a job application tracking Kanban board and AI-powered actionables. Further details for this new version are available in kanban-board/README.md.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The project is described as having a new version under development, which may indicate ongoing changes or potential instability in the current release. The new version's resume generation currently does not export files.