Rambunctious2025/AI-Powered-Ocean-Garbage-predictor
It is an AI-powered marine pollution prediction platform that analyzes ocean currents, wind, and debris data to forecast plastic accumulation hotspots, helping cleanup organizations optimize interventions, protect marine ecosystems, and make faster data-driven environmental decisions.
SUMMARY AI summary by gpt-5-mini
A compact React dashboard for the "AI Ocean Garbage Hotspot Predictor": a production-grade UI to visualize ocean currents, particle drift and predicted plastic convergence zones. Intended for researchers, data scientists, and operations teams who run or evaluate the predictor and its forecasts. Key points: - Quick start with npm; core app in src (App.jsx, OceanMap canvas). - Supports swapping synthetic currents for HYCOM outputs (pipeline and JSON grid lookup provided). - Optional Mapbox + deck.gl integration for satellite tiles/trips. - Features: animated canvas (particles, current vectors, divergence heatmap), 14-day forecast slider, four selectable convergence zones with metrics, layer toggles, hover tooltip (probability, divergence, speed), model info and API request preview, responsive layout. - Env vars: VITE_MAPBOX_TOKEN, VITE_API_BASE.
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Dates
| Created on GitHub | 2026-05-14 |
| Last push | 2026-05-14 |
| First seen here | 2026-05-14 |
| Last fetched | 2026-05-14 16:11 |
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