Developing AI-Driven Solutions for Disaster Response and Recovery in Nigeria – with DataCamp

Local Chapter UNILAG Lagos, Nigeria Chapter

Coordinated by Nigeria ,

Status: Completed

Project Duration: 11 Sep 2023 - 31 Oct 2023

Open Source resources available from this project

Project background.

In response to the devastating impact of natural disasters like floods and earthquakes in Nigeria, we have initiated a program to harness the power of Artificial Intelligence (AI) and technology to address the aftermath of such calamities.

Given the recurring occurrence of floods and the potential risk of earthquakes in certain regions, our focus is on creating technology-first solutions to aid affected communities in rebuilding and recovering from these disasters. The goal is to minimize the loss of lives, property damage, and displacement caused by such events.

Through extensive research and AI development efforts, we aim to develop tools and systems that can enhance search and rescue operations, provide essential resources to survivors, and facilitate the reconstruction of infrastructure and buildings damaged by floods and earthquakes.

Our ultimate mission is to significantly improve disaster response and recovery efforts in Nigeria, ensuring the safety and well-being of those affected by future natural disasters. By employing AI-driven solutions, we strive to make a positive impact on communities and contribute to Nigeria’s resilience and preparedness in the face of these challenges.

Project plan.

  • Week 1

    Project Kickoff, Research, and Planning
    – Conduct project kickoff meetings with stakeholders.
    – Conduct preliminary research on flood and earthquake data in Nigeria.
    – Define project scope, objectives, and success criteria.
    – Formulate a high-level project plan and assign key responsibilities.

  • Week 2

    AI Model Development and Early Warning System
    – Develop the AI model for the early warning system.
    – Test and refine the model using historical data.
    – Set up real-time data integration for alerts and notifications.

  • Week 4

    Resource Allocation Algorithms and Search and Rescue Tools
    – Work on AI algorithms for optimizing resource allocation during disasters.
    – Develop AI-based tools for search and rescue operations.
    – Test both resource allocation and search and rescue tools.

  • Week 6

    Infrastructure and Building Reconstruction AI, Training
    – Create AI algorithms for assessing infrastructure reconstruction needs.
    – Collaborate with local experts to validate the reconstruction model.
    – Develop training modules for stakeholders on AI tools and disaster response.

  • Week 8

    Integration, Pilot Testing, and Handover
    – Integrate all developed AI tools into a comprehensive disaster management system.
    – Conduct pilot testing and gather feedback from stakeholders.
    – Finalize the project, prepare documentation, and hand over the system to relevant authorities.

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