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.

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.

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

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

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.

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

Offline-first policy dashboard factory for peaceful technology innovation and benevolent intercontinental “political cascades.” Includes directory blueprint + Claude meta-prompt chain to generate citation-ready, zero-harm, anti-coercion modules (risk audits, KPI ledgers, procurement/standards, diplomacy toolkits) with local-only storage.

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.

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.”

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

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

Early warning ML pipeline for ICU cardiac arrest risk using eICU-CRD with structured feature engineering and model evaluation.

Code and experiments for evaluating the operational limits of early-warning models in wastewater treatment plants.