IvanIsCoding/ResuLLMe
Enhance your résumé with Large Language Models
Accepts PDF or Word documents, extracts résumé data via LLM analysis, and renders enhanced versions as PDFs using LaTeX templates following industry best practices. Supports both OpenAI and Gemini APIs, with a fallback option to manually edit JSON Resume format output before re-rendering. Built as a Streamlit web app deployable locally via Docker or Pixi, with extensible LaTeX template system for customizable résumé styling.
459 stars.
Stars
459
Forks
132
Language
Jinja
License
MIT
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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