The "Morocco Solidarity Hackathon: AI to Monitor Natural Disasters Risks" is a heartfelt response to the recent earthquake that struck the southern region of Morocco. Organized by a dedicated team of Moroccan students and researchers at Mila, this hackathon is more than just a competition; it's an initiative born from a shared concern for those affected by the earthquake.
- Date and Time: Saturday, September 16th, 9 AM - Sunday, September 17th, 7 PM
Disaster relief efforts often face significant challenges, including resource allocation, data management, and efficient communication. Traditional approaches can lead to inefficiencies and delays, putting lives at risk. KhaimaAI addresses these issues by providing real-time data, resource optimization, and an intelligent chatbot to streamline disaster response.
KhaimaAI offers a comprehensive solution for disaster relief management:
- Data Visualization: Real-time visualization of critical data, enabling informed decision-making.
- Resource Management: Efficient monitoring and allocation of essential resources such as food, water, and medicine.
- Chatbot Connectivity: Integration of a chatbot that has access to live data about resources in different locations for instant resource inquiries and support.
- Geospatial Information: Utilization of geographical data for precise location tracking and resource allocation.
- Historical Data and Trend Analysis: Continuous improvement through trend analysis and historical data. (Feature to be developed)
- Resource Allocation Algorithms: Advanced algorithms for equitable distribution of resources. (Planned Feature)
- Real-time Alerts: Instant alerts for critical events and actions. (Planned Feature)
KhaimaAI, is a project developed to revolutionize disaster relief management. It empowers authorities to efficiently manage temporary camps established in the aftermath of natural disasters, ensuring the effective allocation of essential resources and aid to those in need.
Here's a Google Sheet example to test our app: https://docs.google.com/spreadsheets/d/1uz7ekgRI7AL5ohkiFkGly4RMNri2JPRjIxjEdDRUT1U/
Special thanks to the following contributors who have dedicated their time and expertise to this project:
- EL BELGHITI Hamza
- AKHMIM Abdelilah
- OUJJIR Achraf
- JAKOUK Hamza
- CHEMLAL Salim (Our Awesome Mentor 🙌)
Your contributions have played a crucial role in making this project a success. Your dedication and hard work are greatly appreciated. Thank you for being a valuable part of the team!
- Clone the repository:
git clone https://github.com/Hamagistral/KhaimaAI.git
- Go to the streamlit/ folder:
cd streamlit
- Install the required dependencies:
pip install -r requirements.txt
- Run the app:
streamlit run 01_📊_Dashboard.py