early-warning-system

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

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

🌍 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

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.

Multi-source public health intelligence system for epidemiological surveillance and early warning

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.

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

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.

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.

Real-time clinical vitals monitoring system that calculates NEWS2 scores, triggers tiered risk alerts, tracks temporal trends, and maps data using GDPR-compliant persistence

An early warning system for electrical cable fire risk based on current measurement, harmonic analysis and thermal modeling. Data analysis and risk estimation algorithms were developed using Python and MATLAB.

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

Transforming raw EHR data into predictive clinical insights. A deep learning approach to proactive healthcare and targeted patient interventions.

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.

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.

Detecting Abnormal Markets - Early Warning Systems

Hybrid flood-risk model fusing BERT+PCA text features with scaled weather data (RandomForest + SMOTE), plus a production script that polls live weather APIs and alerts on high risk.

A Multi-Model Ensemble Framework for Flood Detection and Early Warning in Bihar using BiLSTM, SAR Imagery, Weather Data, and Machine Learning.