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I want to build a machine-learning system that flags crew members who are likely to turn up fatigued or on the verge of sickness before a shift begins. For every person I can supply two data streams: their detailed work schedules (hours on duty, rest intervals, overtime) and their daily wellness check-ins (self-reported symptoms, health scores, notes). Your model should fuse both streams, learn the patterns that precede absence or under-performance, and return a single warning message per crew…