Climate change represents one of the most pressing health challenges of our time. Heat stress, respiratory diseases, and cardiovascular risks already affect large parts of the population. Although scientific evidence is steadily increasing, it is rarely translated into personalized, everyday preventive guidance.

Existing digital solutions typically treat climate and health data separately and provide mostly generic alerts. ClAImate addresses this gap through a research-driven, human-centered approach that transforms scientific insights into transparent, explainable, and personalized preventive recommendations.

ClAImate aims to develop an AI-based digital platform that provides personalized assessments of climate-related health risks and delivers evidence-based preventive recommendations. By combining location-specific climate data, individual health profiles, and scientific evidence, the platform generates actionable and comprehensible guidance.

Designed as an interface solution, ClAImate can be seamlessly integrated into existing digital health services, particularly those of health insurance providers. The overall goal is to empower individuals to take preventive action at an early stage and to strengthen long-term climate resilience and public health.

ClAImate combines state-of-the-art AI technologies with medical and climate science expertise:

• Large Language Models (LLMs) for analyzing scientific literature
• Explainable AI to ensure transparency of risk assessments
• Expert annotation tools for defining thresholds and actions
• Location-specific climate data (e.g., temperature, air quality)
• API-based architecture for system integration
• Web-based interfaces for personalized recommendations