1. About Your Team
We are TMT, a multidisciplinary team of seven members from Palestine, united by a shared belief that technology can save lives. Our team was formed under the supervision of Birzeit University and brings together expertise across AI engineering, full-stack development, mobile and DevOps, UI/UX, quality assurance, and product management — alongside academic mentorship in health informatics.
Our members:
• Roa Aldaghamin — Team Lead
• Leen Soud — QA & UI/UX
• Tareq Tbakhi — DevOps & Mobile Developer
• Adham Mehdawi — Product Manager
• Wael Salameh — AI Engineer
• Mahmoud Hamdan — Full Stack Developer
• Dr. Ihsan Shamasneh — Academic Advisor
We are affiliated with Birzeit University, Palestine.
2. Your Motivation
We first heard about the AI4Purpose Hackathon through the Palestine TechnoPark page on LinkedIn. The announcement immediately caught our attention — the challenge felt tailor-made for both our skill set and our context.
What motivated us to participate was the opportunity to apply AI to a problem that genuinely matters. Living in a region that has experienced conflict and health crises firsthand, the challenge of strengthening emergency preparedness felt deeply personal to all of us. We believed we had the technical skills and the drive to build something real — a system that could one day help save lives not just in Palestine, but across the Mediterranean region.
The intersection of AI and health emergency response is, in our view, one of the most impactful spaces technology can occupy today.
3. Your AI Solution
We developed the Real-Time Health Crisis Operating System — an AI-powered platform designed to connect hospitals, ambulances, and civil defense agencies into a single, coordinated emergency response network.
The core problem we addressed is that during crises, coordination between agencies is painfully slow. Decisions are delayed, resources are misallocated, and the absence of real-time data costs lives.
Our solution operates across three phases:
• Before a crisis: AI agents continuously monitor social media, Telegram, and open web sources to detect early warning signs. Patient records are stored securely with end-to-end encryption, and risk-based alerts are sent based on location.
• During a crisis: A smart SOS system with multiple fallbacks ensures connectivity even when networks are degraded. Real-time news and field data are aggregated to support decision-makers.
• After a crisis: The platform generates data analytics and resource planning reports to improve future preparedness.
The intended users are hospital administrators, emergency coordinators, civil defense teams, and ultimately — patients and civilians. What makes our solution distinctive is that it does not simply automate tasks; it creates a shared intelligence layer across agencies that have historically operated in silos.
4. Future Development
Our immediate next step is to build a fully functional prototype and seek piloting opportunities with health and emergency institutions in Palestine. While we do not yet have a confirmed partner, we are actively exploring connections with local hospitals and civil defense bodies to test the system in a real environment.
In the near term, we aim to expand the AI models to support more languages and regional dialects, and to integrate with existing hospital information systems already in use across the Mediterranean.
We believe collaboration will be essential to scaling this solution. Partnering with health ministries, civil defense agencies, and international organisations under the MEDAIGENCY project would allow us to access real crisis data, refine our models, and deploy the platform where it is needed most. We are open to any pathway — research collaboration, institutional piloting, or further development support — that brings this closer to real-world impact.
5. Mediterranean Perspective
Competing at a Mediterranean level was genuinely eye-opening. It reminded us that the challenges we face in Palestine — fragmented health systems, communication breakdowns during emergencies, limited post-crisis data — are not unique to us. Teams from across the region shared remarkably similar frustrations, which reinforced our conviction that a shared, interoperable solution is not just desirable but necessary.
Interacting with international teams, mentors, and jury members pushed us to think beyond our immediate context. We began asking: how do you design a system that works in a coastal city in Morocco and also in a mountainous region in Jordan? That question shaped how we approach the modularity and adaptability of our platform.
The transnational dimension also gave us hope. Knowing that institutions across the Mediterranean are actively investing in AI for health resilience means there is both an audience and a potential ecosystem for what we are building.
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