Overview

Organized in partnership with King Salman Humanitarian Aid and Relief Center (KSrelief), Alfaisal University is proud to host an inspiring two-day hackathon that brings together Saudi university students to address pressing global humanitarian challenges using the transformative power of AI. This event marks a significant step forward in leveraging technology to create impactful, sustainable solutions, aligning with Saudi Arabia’s Vision 2030. Participants will collaborate with world-class mentors, including AI and healthcare experts from Alfaisal University and its partners, alongside leaders from KSrelief, the United Nations, and other global humanitarian organizations including ICRC. This unique experience offers invaluable insights, hands-on learning, and the chance to turn ideas into real-world solutions.

This hackathon is more than just an event - it’s a call to action to innovate, collaborate, and be part of a shared mission to address global challenges. Join Alfaisal University in driving humanitarian innovation and making a lasting difference.

Problem Statement: Addressing Humanitarian Healthcare Challenges with AI
The Problem

Humanitarian relief organizations, like KSrelief, face immense challenges in delivering healthcare during crises such as pandemics, poverty, and political conflicts. These crises often lead to:

  • Fragile healthcare systems.
  • Inequitable resource distribution.
  • Logistical obstacles in remote and conflict-affected regions.
  • A lack of real-time data for informed decision-making.
  • Limited accessibility and equity in healthcare delivery.
The Solution

Advanced AI technologies provide transformative support to innovators and decision-makers in developing solutions to these challenges. We invite you to develop an AI-powered system that addresses these critical issues, focusing on:

  • Global health crisis forecasting and early warning systems.
  • Disease modeling to guide healthcare strategies.
  • Efficient logistics for healthcare, supplies and shelter delivery.
  • Real-time support for decision-makers in humanitarian organizations.