CAP Alerts composer, communication and dissemination tool

Open-source disaster risk intelligence platform for US municipalities — powered by FEMA, USGS & NOAA public data

Real-time GitHub exploit PoC monitor that scores, analyzes, and alerts on newly published CVE exploits before they trend. Built to give defenders a head start.

System detects the firearm or any other lethal weapon carried by any person and alerts the security team to act before any bad incident occurs

12h clinical deterioration early-warning baseline: tabular models (LogReg / HistGradientBoosting / optional XGBoost), simple probability ensemble, and cost-based threshold/policy tables exported for dashboards.

Simulated hospital deterioration dataset: 10,000 admissions, hourly vitals+labs over a 72h cohort, with ML-ready tables incl. “next 12h” early-warning target.

Hospital deterioration early-warning EDA (first 72h): cohort KPIs, event timing, risk-score behavior, physiologic trajectories, and a toy alert-policy view.

Hybrid network + ML framework for corporate financial-distress prediction using network features and classic financial indicators.

Automated time series-based anomaly detection framework for crisis monitoring. Detects unusual behaviors, spikes, and trends for early warning systems in finance, industry, and cyber-security.

🦟 Dengue fever early-warning system — predictive analytics and geospatial risk mapping for Indonesian communities

Vedura is a government-oriented public health awareness and early signal intelligence platform designed to support authorities with population-level insights while providing verified, multilingual health guidance to citizens.

基于 Open-Meteo 气象 + Sentinel-2 遥感指数的轻量智慧农业告警管线。可强自定义 ROI/时间范围/生长季门禁与病虫害(规则)阈值，一键生成告警、事件合并与可解释报告。

Real-time earthquake monitoring CLI. Stream live seismic events from USGS, filter by magnitude/location, output JSON/NDJSON, and launch a web dashboard. Built with Rust.

A multi-domain geophysical correlation model linking Schumann Resonance, crustal energy, TEC anomalies, and EM events.

Which ICU variables warn of sepsis earliest? A temporal analysis of 40,336 patients that reveals what the model ignores and why.

AI-based early detection of subcontractor performance deterioration on DOT roadway projects. Links subcontractor shortages to liquidated damages and develops GC mitigation strategies to prevent cascade failures. Motivation: “Early detection could have prevented $395,006 in damages.”

Atomic benchmark suite showing drift can act as an early warning before direct symmetry detection in gradual-breaking regimes, with reversal controls, finite-budget sensitivity tests, and exact alarm-time validation.

A geometric SVM-based early warning system for catastrophic forgetting in continual learning

AI-powered flood intelligence platform for Kenya's Lake Victoria basin — real-time risk prediction, role-based dashboards, and actionable early alerts for Kisumu, Siaya & Homa Bay.

Proactive payment fraud intelligence — early-warning risk scoring with 4.7x operational lift. PyTorch MLP + entity embeddings, temperature calibration, FastAPI, SHAP, Evidently drift monitoring.