resume-llm/resume-ai

What it solves

It provides a local-first workspace for job seekers to track applications and create tailored resumes. It eliminates the need to manually track job roles in spreadsheets and manually rewrite resumes for every single application, while keeping data private by supporting local LLM execution.

How it works

The system uses a Kanban board to manage job applications. Users can link a specific job description and their profile notes to an application card, then use an integrated AI to generate a draft resume tailored to that role. The project is deployed via Docker Compose and can connect to local Ollama instances, Ollama Cloud, or OpenAI-compatible APIs to handle the AI generation tasks.

Who it’s for

Job seekers who want an organized way to track their applications and use AI to customize their resumes for different roles without sacrificing privacy.

Highlights

• Local-first AI: Supports local Ollama for full privacy or cloud-based providers.
• Application Tracking: Integrated Kanban board for managing the job search pipeline.
• Tailored Generation: Generates resumes based on job descriptions and profile notes.
• Multi-format Export: Exports final resumes as PDF or DOCX via Pandoc.
• Customizable Prompts: AI behavior can be adjusted by editing Markdown files in the prompts directory.