👉 Check some sample résumés generated by ResuLLMe (1, 2, 3)
ResuLLMe is an app that uses Large Language Models (LLMs) to tailor résumés. It's goal is to enhance résumés to help candidates avoid common mistakes that occur while applying for jobs. It is like a smart career advisor to check your résumé.
You can use ResuLLMe live at https://resullme.streamlit.app/.
ResuLLMe now supports both OpenAI and Gemini, empowering the application to enhance résumés with even more powerful and diverse language models, providing users with smarter, more accurate career guidance.
ResuLLMe receives your previous CV as a PDF or Word Document. Then, it uses LLMs to:
- Improve the résumé following published résumé guidelines by well-reputed schools
- Convert the résumés to a JSON Resume format
- Render the JSON resume using LaTeX to generate a new PDF of the enhanced resume
Important
ResuLLMe was updated to support macOS and Windows. For that to happen, we had to switch the LaTeX engine. If you prefer the old rendering behavior, check the code in the v1 branch.
Note
If ResuLLMe fails to extract data from your CV, you can manually download the JSON output, edit it and re-render at the "Render JSON Resume" tab
To run the app locally, you will need to install Pixi:
curl -fsSL https://pixi.sh/install.sh | bash
Lastly, to run ResuLLMe locally, execute:
pixi run run-app
This will make the app avaialable at https://localhost:8501/
To run ResuLLMe locally, the simplest way is to use Docker:
docker-compose up -d
This will make the app avaialable at https://localhost:8501/
ResuLLMe is an open source project.
If you want to contribute, open a Pull requests. All contributions are welcome, but some that would particularly be useful to the community are:
- Fixes in existing LaTeX templates
- Adding new LaTeX templates
- Improved prompts
- Support for other LLMs (e.g. Bard, Claude, LLaMA)