This project focuses on integrating AI agents with advanced matching algorithms to create EnhanceMatch, a system designed to optimize recruitment. By efficiently matching candidates’ CVs with job applications, EnhanceMatch streamlines the hiring process, bridging the gap between job seekers and employers. The research aims to automate and enhance the recruitment process, making it more efficient and effective.

Integrating Large Language Models (LLMs) with Behavior Trees (BTs) offers a groundbreaking approach to controlling robotic swarms through simple natural language commands. This synergy leverages the strengths of both technologies, enabling more intuitive and flexible interactions with complex robotic systems.