AI Lab – Youth in AI

Maximizing Youth
Potential through
Youth-led AI Innovations

Why Youth in AI Lab?

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.

Pioneering Youth-Led AI Innovation for Global Impact

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.

AI for Social Good

Youth-led AI solutions advancing healthcare, education, energy, and agriculture.

AI Education Talkpoint

Talks, workshops, and fellowships that grow next-gen talent and AI literacy across Africa and beyond.

Deep Learning Model Research

Training and testing advanced Large Language Models (LLMs) for context-specific and responsible applications.

Explore Our Research Works

Deep Learning Model for Liver Ultrasound Image Segmentation

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.

Adaptive Deep Learning Model for Avocado Disease Detection

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.

Our AI Research Associates

Misbawu Abdallah

President

Adiza Alhassan

Vice President

Suale Yakubu

AI Research Lead

Mariam Suleman

AI Research Associate

Grace Ngari

Machine Learning Researcher

Emmanuel Gyan

Data Science Associate

Mohammed Jibril

Graphics and UI Designer

Williams Adu-Gyamfi

Front End Developer

Let's Innovate Together

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.