ResuLLMe
Enhance your résumé with Large Language Models
Stars: 344
ResuLLMe is a prototype tool that uses Large Language Models (LLMs) to enhance résumés by tailoring them to help candidates avoid common mistakes while applying for jobs. It acts as a smart career advisor to check and improve résumés. The tool supports both OpenAI and Gemini, providing users with smarter, more accurate career guidance. Users can upload their CV as a PDF or Word Document, and ResuLLMe uses LLMs to improve the résumé following published guidelines, convert it to a JSON Resume format, and render it using LaTeX to generate an enhanced PDF resume.
README:
👉 Check some sample résumés generated by ResuLLMe (1, 2, 3)
ResuLLMe is a prototype 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
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/
To run the app without Docker, you will need to install two things for the app to work. The first item is to install the Python dependencies:
pip install -r requirements.txt
The second item is to install the LaTeX packages:
xargs sudo apt install -y < packages.txt
Lastly, to run ResuLLMe locally, execute:
streamlit run src/Main.py
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)
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