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v1.0-alpha
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3 commits
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Features
- 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.
- 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.
- 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).