This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib

Clinical Decision Support System (CDSS) for Emergency Triage. Python implementation of regional healthcare protocols featuring complex logic, input normalization, and automated clinical pathways

AI-Powered Patient Triage System using Flask and Severity Index Model

Trabalho Faculdade UniFil (Análise e Projeto de Algoritmos) com o seguinte tema: Sistema de Triagem de Pacientes

A triage management application featuring a Python frontend integrated with a high-performance C++ backend via Inter-Process Communication (IPC) pipes. Utilizes a lightweight, file-based data storage system.

"Med-Varta," a low-bandwidth tele-triage system for Northeast India.

Emergency department triage system with voice processing, computer vision diagnosis, and intelligent patient-doctor matching. Claude API extracts structured medical data from natural language descriptions. Computer vision analyzes wound photographs for severity assessment. Predictive algorithms optimize resource allocation.

CLI tool that parses Tenable.io vulnerability exports from ServiceNow and assigns P1–P4 priorities, with support for asset overrides, exception lists, and multiple export formats.

Developed a high-concurrency HealthTech Progressive Web App (PWA) during a 24-hour national-level hackathon, Navonmesh 2026, securing 22nd place out of ~300 initial teams. The platform automates medical triage and streamlines ambulance dispatching to reduce critical response times during Mass Casualty Incidents (MCIs).

Electronic Triage System