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

🌍 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

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

"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.

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

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.

Detecting Abnormal Markets - Early Warning Systems

Undergraduate Report presented as a partial requirement for obtaining the degree of Bachelor in Computer Science

End-to-End Python implementation of Mukhia et al.'s (2025) methodology for detecting political risk transmission in stablecoin markets. Implements dynamic programming for endogenous breakpoint detection, Empirical Mode Decomposition, Cholesky-identified structural shocks, and AAFT surrogate validation to quantify political uncertainty spillovers.

Implementation of the Self-Supervised Spatiotemporal GNN (ST-GNN) for detecting financial contagion and systemic risk using BIS banking data (1977–2023).

Early Warning System Projects

Explainable Academic Early Warning System (Local Web App)

🐦 Early warning system monitoring 22 global indicators for financial, supply chain, and geopolitical risks. Real-time alerts help families prepare before disruptions impact daily life.

Early academic risk detection using student engagement data (OULAD) with time-aware machine learning features.

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.

CPU-based glyph compression for GPU telemetry (116,640:1 ratio, 8-12h fracture lead time)

Early warning system developed for Saibai Island

Derzeit wird in Deutschland zur Überwachung der Poliofreiheit eine syndromische Surveillance hospitalisierter Patienten mit aseptischer Meningitis/Enzephalitis und akuter schlaffer Paresen durchgeführt (Enterovirus-Surveillance, EVSurv).

A machine learning approach to predict the student performance using their online activity and scores.