early-warning-systems 开源项目推荐（178 个）

openeew /openeew

Introduction to OpenEEW, an open-source Earthquake Early-Warning toolkit

dssg /triage

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

EU-ECDC /episomer

ECDC Early warning tool using social media data.

mirzayasirabdullahbaig07 /SailabAlert

AI-powered flood & landslide early warning dashboard for Pakistan — ML risk prediction + Groq-generated safety advisories, bilingual (English/Urdu) interface.

atulyakumar97 /news-sentiment-analysis

The spider crawls moneycontrol.com and economictimes.com to fetch news of input companies and also scores and classifies the companies to raise an early warning signal

GiZano /QuakeGuard

Distributed Earthquake Early Warning (EEW) system built on low-cost ESP32-C3 IoT sensors with Zero-Trust security, multi-node epicenter triangulation, and on-premise AI emergency reports. Includes custom PCB, FastAPI/Redis/TimescaleDB backend, and a React Native mobile app.

SentryPeer /SentryPeerHQ

Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

AmirhosseinHonardoust /The-Illusion-of-Sudden-Failure

A systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.

AmirhosseinHonardoust /Failure-is-a-Transition

A systems-thinking essay that reframes failure as a gradual transition rather than a discrete outcome. It explains how pressure accumulation, weakening buffers, and hidden instability precede visible collapse, and why prediction-based models arrive too late to prevent failure in human-centered systems.

AmirhosseinHonardoust /Optimization-Is-Borrowing-Stability-From-the-Future

A systems-thinking essay arguing that most optimization quietly trades away buffers, slack, and resilience to make present metrics look better. It reframes efficiency as borrowing stability from the future, and shows how education, workforce, infrastructure, markets, and hardware all get optimized into fragility.

AmirhosseinHonardoust /Disaster-Instability-Early-Warning-Engine

An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.

AmirhosseinHonardoust /Academic-Instability-Early-Warning-System

An interpretable early-warning engine that detects academic instability before grades collapse. Instead of predicting performance, it models pressure accumulation, buffer strength, and transition risk using attendance, engagement, and study load to explain fragility and identify high-leverage interventions.

AmirhosseinHonardoust /Irreversible-Degradation-Threshold-Detector

An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

AmirhosseinHonardoust /Pressure-Is-the-Only-Honest-Metric

A long-form systems essay arguing that most metrics fail because they measure outcomes instead of accumulated pressure. It reframes collapse as a consequence of debt, buffer depletion, and delayed feedback, and explains why early warning depends on measuring pressure rather than predicting final events.

RonakDedhiya /Early-Warning-Fault-Detection

该项目在 GitHub 上没有填写描述

AmirhosseinHonardoust /Physiological-Debt-Accumulation-Engine

A systems-level analysis engine that models sleep as a recovery debt process rather than a nightly outcome. Using physiological traits and ecological pressure signals, it estimates predicted sleep need, quantifies sleep debt, and visualizes how stress accumulates silently before visible fatigue or failure occurs.

AmirhosseinHonardoust /Machine-Learning-Should-Warn-Not-Decide

A long-form systems essay arguing that machine learning fails when used as an automated decision-maker in unstable environments. It reframes ML as an early-warning instrument that exposes pressure, instability, and shrinking intervention windows, preserving human judgment instead of replacing it with late, brittle decisions.

sapienzaapps /seismocloud-sensor-nodemcu

Source code for NodeMCU seismometers for SeismoCloud project

wmo-raf /cap-composer

Weather Warnings creation, communication and dissemination tool - Conforming to CAP v1.2 Standards

patmull /disaster-warning-system-scripts

CAP (Common Alerting Protocol) XML alert format parsing, HTML parsing, inserting new alerts into database, OneSignal (possible Android and iOS push notifications), Twitter, Facebook, MailChimp (e-mail notifications) for project of open source solution for natural disasters early-warning.