This demo paper presents a prototype of a multilingual, speech-based driver assistant, designed to support both English and Basque languages. The inclusion of Basque—a low-resource language with limited domain-specific training data—marks a significant contribution, as publicly available AI models, including Large Language Models, often underperform for such languages compared to high-resource languages like English. Despite these challenges, our system demonstrates robust performance, successfully understanding user queries and delivering rapid responses in a demanding environment: a car simulator. Notably, the system achieves comparable performance in both English and Basque, showcasing its effectiveness in addressing linguistic disparities in AI-driven applications. A demo of our prototype will be available in the workshop.