The purpose is to reduce bias and improve the accuracy of candidate assessments by creating scientifically sound, validated questionnaires and evaluation tools. The system extracts psychological constructs from job descriptions, transforming subjective data into objective, data-driven insights. A key feature is the "HR-Helper Feedback Interface," which incorporates human-in-the-loop design to ensure relevance and usability.

The results show that this approach can streamline recruitment, reduce ambiguity, and help HR professionals select more suitable candidates. The tool provides HR specialists with user-friendly scoring mechanisms and visual summaries, enhancing their decision-making. Ultimately, the project aims to decrease staff turnover rates by selecting candidates more aligned with organizational needs, fostering a balanced and qualified workforce.