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IAPEX (Encuéntrame)

A centralized platform bridging the gap between unidentified hospital patients and searching families using a hybrid fusion of facial and textual signals.

IAPEX

🆔 IAPEX (Encuéntrame) — Hybrid AI for Missing Patient Identification

Bridging the gap between unidentified hospital patients and searching families

Web Portal Mobile App Core API Research Paper

🇬🇧 English · 🇪🇸 Español


🎯 The Challenge

Hospitals rely on isolated, manual protocols to register unidentified patients ("John Does"), creating a critical data disconnect with families who search blindly in morgues and ERs. IAPEX solves this by providing a privacy-focused ecosystem connecting institutional data with public queries through a secure biometric matching core, reducing identification time from days to seconds.

🏗 Architecture

┌─────────────────────────────────────────────────┐
│                 Mobile App (Family)              │
│          React + Ionic + Capacitor               │
└───────────────────────┬─────────────────────────┘
                        │ HTTPS / JWT
┌───────────────────────▼─────────────────────────┐
│              Core API (Spring Boot)              │
│     PostgreSQL + MongoDB + JWT Auth + RBAC       │
└────┬──────────────────────┬─────────────────────┘
     │                      │
     ▼                      ▼
┌──────────────┐  ┌──────────────────┐
│  Web Portal  │  │  AI Search       │
│  (Instit.)   │  │  Engine          │
│  Angular 19  │  │  (Neural Core)   │
│  Bootstrap   │  │  FastAPI + dlib  │
└──────────────┘  └──────────────────┘

📦 Repositories

Repository Purpose Stack Status
web-app Institutional web portal for medical staff Angular 19, Bootstrap, TypeScript ✅ Active
mobile-app Mobile app for family search React 18, Ionic 8, Capacitor ✅ Active
core-api REST API: auth, patients, institutions Spring Boot 3, PostgreSQL, MongoDB ✅ Active
neural-core AI engine: facial + text hybrid search FastAPI, dlib, scikit-learn 🚧 Coming soon

🧠 How It Works

  1. Hospitals register unidentified patients via the Web Portal — capturing morphological traits, photographs, and medical data under strict RBAC
  2. Families search via the Mobile App — uploading photos and descriptions of missing loved ones
  3. The Neural Core fuses FaceNet embeddings (Euclidean distance) with text filters (Levenshtein, Jaro-Winkler) to rank candidates, significantly reducing false positives
  4. Matches are displayed with similarity scores — patient privacy is protected until verified by institution staff

🔬 Research

Published paper: "A Hybrid Artificial Intelligent System for the Identification of Missing Persons in Health Institutions"Read the full paper

🛡 Privacy & Security

  • End-to-end JWT authentication
  • Role-Based Access Control (RBAC)
  • Patient data anonymized until verified match
  • Encrypted media storage

🤝 Contributing

We follow a strict PR-based workflow. Check each repository's CONTRIBUTING.md for guidelines. All contributions must adhere to our Code of Conduct.


Built with ❤️ by the IAPEX team · 2025

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  1. web-app web-app Public

    Institutional web portal for hospital staff to register, search, and manage unidentified patients using hybrid AI matching (Angular 19, Bootstrap, TypeScript)

    TypeScript 1

  2. core-api core-api Public

    Central REST API for patient management, authentication, and institutional operations in the IAPEX ecosystem (Spring Boot 3, PostgreSQL, MongoDB)

    Java 1

  3. mobile-app mobile-app Public

    Mobile application for families to search for missing loved ones using hybrid AI matching (React 18, Ionic 8, Capacitor)

    TypeScript 1

Repositories

Showing 4 of 4 repositories

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