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Ishan-sudo-1/GeoGuard_NER

Domaine:

environment and energygeospatial

Type de record:

software
Créateur:
Ish
Hôte:
new # GeoGuard NER — AI-Based Landslide Early Warning & Risk Monitoring System > **Solution for Problem Statement ID 26001**: > *AI-Based Early Warning and Landslide Risk Monitoring System in the North Eastern Region (NER)* --- ## 🌟 Key Innovations & Compliance with Problem Statement | Requirement from Problem Statement | GeoGuard NER Implementation | | :--- | :--- | | **a. Data Collection & Analysis** | Real-time 72h/24h rainfall (IMD AWS/Open-Meteo), soil moisture (upper strata), DEM 30m slope gradient, aspect, elevation & lithological shear zones. | | **b. AI/ML Risk Prediction** | Hybrid multivariate engine: Static Landslide Susceptibility Mapping (LSM) + Dynamic Antecedent Rainfall Index (ARI) based on Caine empirical thresholds. | | **c. Real-Time Alerts** | Common Alerting Protocol (CAP v1.2) formatted dispatch across SMS, WhatsApp, and emergency acoustic sirens. | | **d. GIS & Vulnerable Infrastructure Mapping** | Multi-tile Leaflet GIS (Esri Topo, High-Res Satellite, Dark Radar) with real-time strategic highway lines (NH-10, NH-29, NH-27, NH-06) and rescue bases (NDRF 1st/12th Bn, BRO camps). | | **e. Citizen / Field Official Crowdsourcing** | Geo-tagged photo and crack reporting modal with **offline-first local queue (IndexedDB/Storage)** that syncs seamlessly when network connectivity resumes. | | **f. Interactive Dashboards** | Live risk probability index, emergency dispatch recommendation, road connectivity status, and 7-day predictive weather outlook. | | **g. Multilingual Support** | Instant localization toggle for **English**, **অসমীয়া (Assamese)**, **বাংলা (Bengali)**, and **हिन्दी (Hindi)**. | | **h. Offline Resilience** | Client-side fallback engine ensures the dashboard runs 100% interactively anywhere, anytime, even when the backend is offline. | --- ## 🚀 Quick Start Guide ### Option 1: Run the Interactive Frontend Immediately (Zero Setup) Simply double-click or open `index.html` in any modern web browser: ```bash start C:\Users\Lenovo\.gemi …

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