early-warning-system

Built for Smart India Hackathon 2026, SIH Problem Statement 26192 by National Disaster Response Force (NDRF), DM Division, Ministry of Home Affairs: Hyperlocal flash flood prediction and risk-response system for hilly regions using multi-source environmental and IoT data.

ESP32 LoRa sensor nodes and a hub for forest fire risk detection, payload validation, and SMS alerts.

VirusWarn-SC2 is a simple Variants of concern aLert system script for SARS-CoV-2.

Thailand flood & water levels: 1,000+ canal and river gauges vs the bank, backtested 12–48 h forecasts · ระดับน้ำคลองและแม่น้ำทั่วไทย — flood.autobahn.bot

🌍 A digital health platform designed to detect, monitor, and help prevent outbreaks of water-borne diseases in vulnerable rural and tribal communities. This system integrates mobile reporting (clinics, ASHA workers, volunteers), IoT water quality sensors, and AI/ML models to predict outbreaks, generate alerts, and support health departments with

"Emergency Management and Coordination System" application is a complete end-to-end disaster management application.

Climate Disaster Warning System is a deep learning-based project for detecting wildfires, floods, and sea-level rise using satellite and ground data. It leverages ResNet, Vision Transformer (ViT), and GRACE datasets to support early warning systems and climate research.

Local-first flood warning network: community sensors share readings over a Reticulum mesh that keeps working when the internet goes down, so a surge seen upstream warns towns downstream. Built at SwampHacks 2026.

Macro-Prudential Early Warning System for Hong Kong. Ingests BIS and HKMA data via REST APIs, computes HP-filtered Credit-to-GDP gaps, property price indexes, and liquidity crossover signals, scores them against YAML-configured thresholds, and outputs a normalised composite risk score with Green/Amber/Orange/Red regime classification.

PMU data monitoring tool for real-time detection of oscillations in power systems.

AI-powered ICU early warning system predicting sepsis, hypotension, and hemodynamic collapse 2-6 hours before onset. 4-engine ML ensemble (LightGBM, XGBoost, GRU-D, TCN) with physics-based safety net and multi-agent LLM clinical debate.

🌪️ Anticipatory Cyclone & Infrastructure Cascade Intelligence Platform — 72-hour early warning system using ISRO satellite data, 5-Agent LangGraph AI & NetworkX cascade modeling for coastal disaster response.

Multi-hazard early warning system predicting floods, cyclones, and landslides in Sri Lanka using XGBoost, Flask REST API, and an Android app with Firebase.

FX-CPM is an open-source foreign exchange crisis early warning system for probabilistic forecasting of currency, banking, sovereign, monetary, political and conflict risks. It combines regime-aware Forex indicators, macro-financial data, calibrated models, historical backtesting, alerts, and professional HTML/PDF risk reports.

Reproducible pipeline for forecasting Korean supply-shock import prices with LLM-derived Trade Regulation Scores. 10-model benchmark including Chronos.

HealthWatch is a mobile-first network that enables early outbreak detection by verifying local health observations in real time, transforming community data into actionable public health intelligence.

Community Voice Early Warning System - Two-way disaster alert platform combining ICPAC official forecasts with crowdsourced SMS reports for the IGAD region (East Africa). Built for IGAD Hackathon 2026.

MineSafe — real-time slope stability monitoring and early warning for open-cast mines, pairing a scikit-learn risk model with a physics-based stability engine

Frozen datasets and construction code for "Valuation Tearing and Deep Drawdowns: a leading measure and three-layer monitor for AI-economy sectors of the China A-share market" · 《估值撕裂与深度下跌：A 股 AI 经济板块的前兆度量与三层监测》随文冻结数据集与构造代码 · InAI Capital Advisor LLC

Detecting Abnormal Markets - Early Warning Systems