RankMyResume is a Python module that allows you to rank resumes based on their similarity to a given job description. This module currently supports PDF resume files and will soon support DOC and DOCX formats.
You can install RankMyResume using pip:
pip install RankMyResumefrom RankMyResume import RankMyResume# Create an instance of the RankMyResume class
ranker = RankMyResume()
# Provide the job description and the path to the directory containing resume files
job_description = "Your job description text here"
path_to_resumes = "/path/to/resumes"
# Rank the resumes
result_df = ranker.rank(job_description, path_to_resumes)
# Display the ranked resumes
print(result_df)-
PDF: The module currently supports PDF resume files. You can place your PDF resume files in the specified directory.
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DOC and DOCX (Coming Soon): Support for DOC and DOCX resume files will be added in future updates.
from RankMyResume import RankMyResume
# Create an instance of the RankMyResume class
ranker = RankMyResume()
# Provide the job description and the path to the directory containing resume files
job_description = "We are looking for a Python developer with experience in web development."
path_to_resumes = "/path/to/resumes"
# Rank the resumes
result_df = ranker.rank(job_description, path_to_resumes)
# Display the ranked resumes
print(result_df)RankMyResume relies on the following Python libraries:
- os
- pdfminer
- sklearn
- pandas
You can install these dependencies using the provided installation instructions.
This module is licensed under the MIT License - see the LICENSE file for details.
Ibrahim
Feedback and contributions are welcome! If you encounter any issues or have suggestions for improvements, please open an issue.
Feel free to customize this README with your information and any additional details about your module. Additionally, if you plan to host your module on a version control platform like GitHub, you can include a link to the repository in the README for users to find the source code and contribute.