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GaneshArihanth / Vessel-Oil-Spill-Detection

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Vessel Anomaly Detection is a microservices-based application for maritime surveillance. It combines a React/Vite frontend with a Node.js orchestration layer and a Python/PyTorch inference engine. Key features include real-time AIS tracking, on-the-fly oil spill segmentation via DeepLabV3+, and optimized data caching using MongoDB Atlas.

react nodejs javascript express real-time html5 deep-learning css3 mongodb-atlas tailwindcss resnet50 deeplabv3 vite
  • Updated Dec 16, 2025
  • JavaScript

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