Hireves: Interactive Tool for the Relocation of Emergency Medical Vehicles

This project develops an interactive tool called Hireves, designed to optimize the **relocation of emergency medical vehicles**. By integrating human expertise with artificial intelligence (AI) algorithms for interactive optimization, the tool aims to enhance decision-making processes for emergency services. The system incorporates both qualitative and quantitative factors, using data from various sources to propose efficient vehicle allocation strategies that minimize response times and maximize population coverage. Key features include a visual interface for user interaction and feedback, adaptive algorithms for dynamic scenarios, and the ability to explore "what-if" scenarios. The project focuses on creating a resilient, flexible, and human-centered decision-support system, addressing critical needs in emergency response management.