Gallops
Team consisting of UCD undergrad AI builder (SmartSage, federated learning), DCU PhD data engineer (cloud, Azure/AWS), Python/R geospatial consultant, and Trinity PhD generative‑AI researcher.
Project Description
Cardiovascular diseases have remained the leading cause of deaths worldwide for the last three decades, accounting for one-third of global fatalities. A rapid and effective first response to emergencies, such as cardiac arrest, is crucial, as it significantly increases the chances of survival and favourable neurological outcomes. To address this urgent need, we propose a Cardiovascular Emergency Response system that leverages innovative technologies like Langchain, Langgraph, and Redis. This AI tool will provide first responders and patients with timely assistance and knowledge on how to respond quickly and effectively while awaiting emergency medical services. By ensuring that CPR and defibrillation are initiated as soon as possible, the system aims to enhance survival rates. Ultimately, this technology-driven approach seeks to improve recovery outcomes for individuals facing cardiovascular incidents.