GenAI-HPC4WB Implemented in Partnership with Recrewty
The GenAI-HPC4WB project combines generative AI, machine learning, and high-performance computing (HPC) to optimize hiring processes and enhance business culture in the Balkan region. It analyzes psychometric data, CVs, and interviews using AI models tailored to Montenegrin, Serbian, Bosnian, and Croatian. The project evaluates over 10,000 CVs with models like LLaMA 3.0 and Mistral, analyzes voice recordings to detect traits like confidence, and studies video interviews to identify emotions and micro-expressions. HPC resources enable efficient processing of large datasets, improving the accuracy and scalability of these AI-driven assessments.
Aimed at transforming recruitment for organizations of all sizes, the project enhances candidate evaluations by integrating psychometric data with multimodal AI analysis. It streamlines hiring by reducing bias and offering deeper insights into candidates’ skills and cultural fit. By leveraging HPC, GenAI-HPC4WB delivers scalable and efficient hiring solutions, setting new standards in AI-driven recruitment.
The project is implemented through partnership with Recrewty DOO as a FFPlus Open Call #1 Experiment. FFPlus receives funding received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101163317. The JU receives support from the Digital Europe Programme.
The GenAI-HPC4WB initiative has now been featured among the official FFplus Business Experiment Success Stories, highlighting how DigitalSmart and Recrewty used AI and High-Performance Computing to develop advanced language and HR technologies adapted to the Western Balkans. The project demonstrates the practical business value of HPC-enabled AI, including more efficient candidate screening, lower processing costs, and improved support for regional languages.
The experiment was supported through FFplus, funded by the EuroHPC Joint Undertaking (EuroHPC JU), while the computational resources were provided through a separate EuroHPC Development Access allocation. This enabled the project team to train and evaluate models on the LEONARDO EuroHPC supercomputer, hosted by CINECA in Italy. The full FFplus Success Story is available at: https://www.ffplus-project.eu/en/success-stories/hpc-driven-human-resources-innovation-for-the-western-balkans/