EdFitter - an AI system for matching learning curricula with job market
Project leader: Sergei Koltsov
Implemented in collaboration with HSE-Yandex Laboratory for Natural Language Processing
EdFitter is a system that uses LLM and RAG to turn job descriptions from job search sites, curricula and individual student requests into unified embeddings, calculates the similarity matrix ‘job ↔️ skills ↔️ courses’ and uses it to form recommendations: students get optimal study paths and a list of courses for the chosen profession, graduates get jobs that best match their current skill set, meanwhile universities and educational platforms receive proposals аor updating the composition, sequence and content of disciplines to align curricula with the dynamics of the labour market.
The system is also aimed at teachers and education managers, and in the future it can be scaled to other languages, universities and industries, helping state regulators to match education strategies with the needs of the economy.
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