AI-Powered Firefighting Assistant for Electric Vehicle Fires
Summary
Our solution leverages AI and machine learning to create a smart firefighting system designed specifically for electric vehicle (EV) fires. It provides real-time data, training modules, and decision-making support for firefighters, helping them understand the unique risks and best methods for tackling EV fires. By integrating cutting-edge technology with firefighter training, this system enhances the preparedness and safety of fire departments, especially in regions experiencing an increase in EV usage.
Foreseen impact
The proposed solution will significantly improve the effectiveness and safety of firefighting teams when responding to electric vehicle fires, reducing risks to both firefighters and the public. By providing instant, data-driven recommendations and training, it will help save valuable time during emergency responses and ensure that firefighters are equipped with the knowledge and tools to handle these unique challenges. This will not only enhance fire safety on the island of Brač, but also prepare the firefighting community for the growing number of electric vehicles, ultimately reducing the environmental and financial impacts of inefficient or harmful firefighting methods.
About the solver
Legal-Pythia is a forward-thinking tech company specializing in AI-driven solutions designed to enhance operational efficiency and safety across various industries. With a diverse team of experts, including legal professionals, AI specialists, and engineers, we have a strong track record of delivering innovative technologies tailored to complex challenges. Our expertise in combining artificial intelligence with real-time data analysis makes us uniquely positioned to address emerging issues, such as the growing risk of electric vehicle fires. Our past collaborations with high-profile clients and successful deployments demonstrate our capability to develop impactful, scalable solutions.
Indicative budget/Phases
The project will be implemented in three phases: research and development, pilot testing, and full deployment. Initially, we will allocate around 40% of the budget to developing the AI-driven firefighting system, followed by 30% for testing and optimization. The remaining 30% will be dedicated to training, community engagement, and final deployment. The estimated total budget is €60,000, and we aim to complete the project within six months. This phased approach will ensure that we address all key aspects efficiently while achieving measurable results.