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.
