Commercial fishing crews cannot get weather-routing AI advice during 3-week offshore trips with no satellite data budget

Small-fleet commercial fishing vessels (under 60 feet) operate 50-200 miles offshore for 2-3 weeks at a time where cellular connectivity does not exist, and satellite data via Iridium or Starlink Maritime costs $250-1,000/month — prohibitive for owner-operators already earning thin margins. These crews make dozens of daily decisions (where to set gear, when to pull nets, whether an approaching weather system requires running to port) based on gut instinct and decades-old rules of thumb rather than data analysis. A single bad weather decision kills an average of 42 commercial fishers per year in the US alone, making it the deadliest civilian occupation. A Raspberry Pi running Gemma 4 can ingest local barometric pressure readings, sea temperature, wind data from onboard instruments, and the captain's text-based observations to provide natural-language weather risk assessments, optimal routing suggestions, and catch prediction based on conditions — all processed locally with zero connectivity cost, fine-tuned on the specific fishery and vessel type rather than generic global weather models.