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v1.0-alpha

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@YoussefElebiary YoussefElebiary released this 09 Feb 20:49
· 3 commits to main since this release
8a394bf

Features

  1. Graph Routing
    • Smart Pathfinding: Leverages Graph Neural Networks (GNN) to predict edge safety and travel costs dynamically.
    • Hybrid Solver: Features a high-performance C++ Routing Engine with a robust Python fallback to calculate optimal rescue paths.
    • Interactive Map: Plan missions, manage nodes, and visualize routes using MapLibre GL JS.
  2. Aerial Intelligence
    • Real-Time Detection: Utilizes YOLOv11 to detect survivors, fire, and smoke hazards instantly from drone video feeds.
    • Dual-Mode Surveillance: Supports both Thermal (Person Detection) and RGB (Fire & Smoke Detection) modes.
    • Low-Latency Streaming: WebSocket-based architecture ensures real-time video transmission and processing.
  3. Text Analysis
    • Intelligent Classification: Uses an LSTM model to distinguish between Real Disasters and Fake/Absurd reports.
    • Priority Scoring: Automatically assigns priority levels (High, Medium, Low) based on the model's confidence score.
    • Batch Processing: Supports analyzing multiple reports simultaneously from uploaded files (.txt, .csv, .json).