AI is transforming the way we tackle humanity’s most complex challenges. The Youth in AI Lab was founded to accelerate youth-led AI discovery and bridge the gap between emerging AI technologies and real-world solutions across Africa and the globe. From climate resilience to healthcare, education to sustainable agriculture, our mission is to empower young minds to design and deploy AI systems that sustainable impact.
Backed by a global community of researchers, mentors, and partners, Youth in AI Lab offers deep technical workshops, innovation sprints, and sector-specific research. Through open collaboration, community-led research, and responsible AI practices, we are not only shaping talent pipelines and advancing youth employability, we are reimagining the future of AI from the ground up.
The Labs mission is to empower the next generation of innovators to build intelligent systems that address societal challenges. By combining generative AI, large language models, multi-agent systems, and ethical AI frameworks, we foster youth-led research and innovation that brings lasting change across sectors.
Youth-led AI solutions advancing healthcare, education, energy, and agriculture.
Talks, workshops, and fellowships that grow next-gen talent and AI literacy across Africa and beyond.
Training and testing advanced Large Language Models (LLMs) for context-specific and responsible applications.
The National Flood Command Center is an AI-powered situational awareness platform that unifies live hydrological, meteorological, and community data into a single operational picture of flood risk.
It turns fragmented public flood data into decisions emergency managers can act on — built by young researchers, for the communities they live in.
By using deep learning to segment liver ultrasound images, we are helping diagnose conditions like hepatitis, cirrhosis, and tumors. Designed for use in low-resource settings, this AI system supports frontline health workers with fast, accurate, and accessible diagnostic tools helping bridge the gap in specialist care across Africa.
Avocado farming is growing across Africa, yet fruit diseases continue to impact quality, yield, and market value. This project introduces a real-time, deep learning-based system designed to detect and classify avocado fruit diseases. The solution supports precision agriculture, early intervention, and smarter quality assurance across the avocado supply chain.
Making instant, accurate, and affordable mobile AI healthcare accessible to everyone, particularly rural and underserved communities where medical resources are scarce. This is made possible with an AI/ML diagnostics system, medical AI Agent for round the clock consultations and a doctor discovery system for accurate medical intervention.
Innovation thrives on collaboration, and we invite partners and researchers everywhere to join us. Companies and Institutions can co-sponsor workshops or share real world data challenges. Universities and research centers are welcome to co-develop curriculum or work on joint AI projects. Volunteers and mentors including AI research engineers and educators can guide research teams and deliver guest lectures.
Can AI help solve one of Africa’s most persistent climate challenges? Flooding continues to devastate communities across West Africa, yet many regions lack the…
YOUTH in AI SERIES: Title: Becoming an AI ResearcherTheme: Data, Decisions, and Responsibility in Building Intelligent Systems.When: February 28, 2026Where: Virtual via MeetRSVP: https://forms.gle/5XESAt6NS1MxsuESA…
In a milestone event held at the Google Research Office in Accra, Youth in AI officially launched the Youth in AI Lab, a visionary…
Title: Build Smarter AI AgentsTheme: A Practical Guide to Creating Scalable AI Solutions for Real-World ImpactWhen: June12th, 2025Where: Onsite and VirtualVenue for Onsite: Google…
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