ETHAN
To address the numerous challenges currently faced in matching supply and demand, an automatic system has been developed capable of classifying skills with the objective of simplifying the search for job and training opportunities, effectively connecting supply and demand. Using the European ontology ESCO, LLMs, and various NLP models, this system identifies, processes, and analyzes skills drawn from various sources such as job offers, CVs, and LinkedIn profiles. The objective is to remain up to date and efficient in an international and dynamic environment through constant monitoring and retraining of models as necessary.
Para abordar los numerosos retos que se presentan actualmente para casar oferta y demanda, se ha desarrollado un sistema automático capaz de clasificar habilidades con el objetivo de simplificar la búsqueda de oportunidades laborales y de formación, conectando eficazmente oferta y demanda. Utilizando la ontología europea ESCO, LLMs y diversos modelos de NLP, este sistema identifica, procesa y analiza habilidades extraídas de diversas fuentes como ofertas de empleo, currículums y perfiles de LinkedIn. El objetivo es mantenerse actualizado y eficiente en un entorno internacional y dinámico, mediante la monitorización constante y el reentrenamiento de los modelos según sea necesario.
ETHAN facilitates a better match between candidates and job opportunities, thus optimizing the recruitment process and reducing the time needed to find an ideal candidate. It also improves access to relevant training programs, allowing candidates and organizations to develop critical skills more effectively. In addition, by being automatically updated, the system ensures its applicability and usefulness in a labor market that is constantly changing, contributing to greater efficiency in the employment and training ecosystem.