Smart Fish Route Predictor
“SLASSCOM National Ingenuity Award winning AI/ML system predicting ocean fish routes, high-yield catch zones, and coastal auction market pricing using XGBoost, Python, React, and MongoDB.”
Award-winning maritime intelligence platform using historical catch records and XGBoost machine learning to predict optimal fishing routes, catch hotspots, and harbor market prices.
The Challenge & Solution
Navigating complexity to deliver transformative, scalable outcomes.
The Challenge
Commercial and multi-day fishing vessels expend up to 40% of their operational costs on fuel searching blindly for fish schools across unpredictable oceanic currents, while severe wholesale auction price collapses at coastal harbors frequently inflict devastating economic losses upon docking.
The Solution
We engineered an award-winning maritime intelligence system recognized with a SLASSCOM National Ingenuity Award. The solution trains gradient-boosted decision trees (XGBoost) on multi-year historical catch records, sea surface temperature (SST), and bathymetric data to forecast fish catch zones and optimal vessel navigation routes. A concurrent XGBoost predictive model forecasts daily coastal harbor market prices based on seasonal supply and demand dynamics, presented through an interactive React command radar backed by MongoDB spatio-temporal queries.
Measurable Impact & Results
Tangible performance metrics achieved following full deployment.
Project Showcase & Details
Responsive desktop and mobile viewport mockups.
Technology & Our Role
The architecture, toolset, and specialized domains powering this implementation.
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