Climate Change threatens 1.2 billion people by 2050
Climate change is one of the greatest challenges of our generation. Global projections warn that up to 1.2 billion people could be displaced by climate-related threats by 2050, according to the United Nations. In Africa, communities are already experiencing prolonged droughts, floods, food insecurity, water scarcity, biodiversity loss and extreme heat, threatening livelihoods, agriculture and human wellbeing.
Case: The Devastating impact of Cyclone Idai
Cyclone Idai, which made landfall in mid-March 2019, was one of the deadliest and costliest tropical cyclones to hit the Southern Hemisphere. Striking Mozambique, Zimbabwe and Malawi, it triggered catastrophic flooding, destructive winds and landslides, affecting an estimated 3 million people and causing approximately US$3.3 billion in damages. The disaster severely damaged crops, homes and critical infrastructure, disrupting livelihoods, food security, transport and essential services across the region.
These challenges demand bold innovation, collective action and climate-smart solutions powered by technology and AI.
Bootcamps & Workshops
We provide community-driven training programs in AI, digital skills and design thinking within the context of climate action, preparing learners for the future of green jobs and sustainable development
Robotics & AI Hackathons
We provide safe environments that empower youth to develop climate-smart solutions, including flood monitoring systems, smart agriculture solutions and environmental monitoring technologies.
Panel Discussions & Debates
We facilitate dialogues that enable students to explore the future of AI and digital technologies in life sciences, climate action and social innovation.
Climate change is a challenge we cannot ignore. At Mator Design, we empower learners, schools and communities to use Artificial Intelligence as a tool for climate action through our Learn–Innovate–Act (L.I.A) Framework. We recognize that developing solutions for climate mitigation and adaptation requires both a structured way of thinking and the responsible use of AI.
Through design thinking and emerging technologies, learners explore and build climate-smart innovations using rapid prototyping tools, data science platforms, chatbots, disaster alert systems and other digital solutions that strengthen resilience and support sustainable futures.
In 2026, we participated in the Ecofair event at Maranatha High School, showcasing how AI helps students build a sustainable future. We demonstrated AI tools like AlphaFold 3 for Rubisco protein analysis, showing how AI supports plant science and helps students understand biological pathways contributing to climate-adaptive crop development.
Student-Led Solutions for Sustainable Development
Our students are applying AI, robotics and digital skills to develop climate-focused innovations that address environmental and community challenges. Their projects include a smart lake water cleaning robot for reducing water pollution, a solar-powered weather monitoring rover for collecting climate data, an intelligent helmet for mine workers to enhance safety in hazardous environments and a flood monitoring system designed to support early warning and disaster preparedness.
Through our L.I.A Framework, students are building practical solutions for a more sustainable and resilient future.
A multi-award winner Edward and his team developed an intelligent safety helmet designed for miners, using an ESP32 microcontroller with environmental sensors, GPS, and emergency alert systems. The helmet monitors air quality, temperature, and hazardous gases in real-time. If dangerous conditions are detected or if a worker collapses, the helmet triggers an audible-visual warning and sends an emergency alert with GPS coordinates to supervisors, ensuring rapid response and worker safety in line with SDG3.
Students at St. Francis & Clare School designed a smart irrigation prototype using Arduino to combat Zambia’s water shortages. The system uses soil moisture sensors and weather data to automate watering, minimizing waste while boosting crop yields. This solution supports sustainable agriculture, reduces manual labor, and enhances food security, empowering smallholder farmers with affordable, climate-smart technology.
Carl developed a smart waste segregation system using ESP32 and computer vision to automatically separate plastic from decomposable waste, promoting green innovation. His AI-powered device scans trash via a camera, classifies it in real-time, and directs it to the correct bin using servo motors. This efficient, low-cost solution reduces landfill pollution and supports recycling efforts. The project’s success earned Carl a spot as a 2025 Zimbabwe Science Fair Finalist, showcasing how technology can drive sustainable waste management.