After disaster relief missions, AI plays a crucial role in analyzing dive data.
Dive profiles, biometric readings, and environmental measurements are aggregated and processed by machine learning models to uncover patterns and optimize future operations.
AI identifies what strategies worked best, predicts potential health risks, and refines response protocols.
Lessons learned through this data-driven approach improve training, equipment design, and operational planning. AI can also simulate alternative scenarios based on real mission data to prepare divers better for future incidents.
This continuous feedback loop ensures that every mission contributes to smarter, safer, and more effective underwater disaster responses.
