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

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

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

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

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.

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

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

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.

AI-powered support ticket triage system that classifies, routes, and generates safe responses using a modular pipeline.

nurse medical triage

Neo Scholars Take-Home

Product case study and interactive prototype for an AI-assisted property management incident command centre.

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.

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.

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.