Unify, Unleash, Automate Talent & Workforce Data
Repository containing helpful notebooks by the HrFlow.ai team
All notebooks can run on Google Colab
HrFlow.ai offers a simple way to parse your resumes no matter the format (pdf, docx, html, etc.), and to extract relevent information from your job descriptions.
| Notebook | Description | Colab |
|---|---|---|
| [Parsing] profile_job_parsing.ipynb | Parse and store raw CVs and job descriptions |  |
| [Parsing] parsing_evaluator.ipynb | Evaluate the parsing quality of HrFlow.ai | |
Score your candidates and jobs with HrFlow.ai's scoring models.
| Notebook | Description | Colab |
|---|---|---|
| [Scoring] test_scoring_api.ipynb | Test the scoring API as a talent or recruiter copilot | |
| [Scoring] enrich_anonymized_profiles.ipynb | Tackle the challenge of non-indexed profile | |
HrFlow.ai offers a simple way to enhace your scoring models with your own historical data.
| Notebook | Description | Colab |
|---|---|---|
| [Training] tracking_data_upload.ipynb | Upload tracking data to HrFlow.ai to enable the training feature | |
HrFlow.ai offers a simple way to categorize HR document using the tagging API.
| Notebook | Description | Colab |
|---|---|---|
| [Tagging] ocr_and_categorize_a_document.ipynb | Categorize HR documents | |
Archive profiles based on their storing duration in an HrFlow.ai source.
| Notebook | Description | Colab |
|---|---|---|
| [Storing] archive_profiles_based_on_creation_date.ipynb | Archive Profiles | |