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

Open-source SOC console. Free-text security incident in, MITRE ATT&CK triage card out. TF-IDF + sentence-transformer classifier, multi-provider LLM dispatch, IOC enrichment, and case management.

Real-time emergency blood matching system using Graph Theory and Greedy Allocation to prioritize critical patients and ensure zero-error medical compatibility.

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

A simple system to help categorize patients into hospital departments based on symptoms.

Swasthya Sathi – An AI-powered rural health assistant that helps users check symptoms, assess severity, and find nearby healthcare support instantly.

AI-based system for real-time battlefield triage and medical decision support.

Still Mind is an explainable, rule-based mental health triage and resource allocation system that prioritizes students for counseling using structured clinical assessments and intelligent decision logic under real-world constraints.

An NLP-driven Clinical Decision Support System (CDSS) designed to automate patient triage, featuring automated data ingestion, risk-engine logic, and stress-testing modules for clinical reliability.

Machine Learning-Powered Clinical Decision Support System for Emergency Department Patient Triage

Neo Scholars Take-Home

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

nurse medical triage

A deterministic, safety-first microservice for parsing free-form bKash customer complaints (English, Bengali, Banglish) into structured triage data. Built with FastAPI, featuring a hybrid rule/LLM engine, local NLP normalization, and deep input/output guardrails.

A modular, terminal-based support triage system that processes tickets across multiple domains using TF-IDF retrieval and extractive responses. Designed for safety, determinism, and zero hallucination.

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

Electronic Triage System

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).

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

A safe, bilingual (English/Arabic) AI support triage system powered by Groq LLaMA 3.3. It uses a grounded RAG framework and Pydantic validation to transform chaotic customer queries into deterministic, structured JSON with built-in safety escalation guardrails.