Overview
When using HrFlow.ai APIs for scoring and searching, stored profiles must meet minimum completeness rules. Anonymized profiles often fail these rules, preventing them from being indexed by HrFlow.ai's scoring and searching engines.
This article demonstrates how to enrich anonymized profiles with fake data to ensure they comply with indexing requirements.
Basics
Follow these steps to enrich anonymized profiles:
Generate Fake Profile Information
Use a library likeFakerin Python to generate fake profile data.Create a Fake Data Page
Compile the fake data into a page containing realistic but fictitious profile information.Add the Fake Page to Resumes
Attach the generated page as the last page of each anonymized resume.Parse the Updated Resumes
Parse the resumes using HrFlow.ai APIs. After parsing, you will see that all information fields are filled with the fake data, ensuring the profiles meet completeness rules.
Advanced
Explore the Colab Notebook
Follow this Google Colab Notebook to enrich anonymized resumes step by step.Translate the Code
To convert the notebook code to another programming language, such as Node.js, refer to this ChatGPT thread.
Useful Links