Empowering Beninese students to solve local challenges with Artificial Intelligence
Artificial Intelligence is often presented as something distant and inaccessible, especially in developing countries. Yet many local challenges could benefit from simple data-driven solutions.
This project will organize a community AI mini-lab in Abomey-Calavi, Benin, where students will work together to build simple AI prototypes addressing real local problems.
Instead of a traditional lecture-style workshop, participants will collaborate in small teams to explore practical questions such as:
Can AI help identify plant diseases affecting local crops?
Can image recognition help sort recyclable waste?
Can simple data models help predict local transportation demand?
During the event, students will receive guidance on the fundamentals of machine learning and will experiment with simple open-source tools to build small working prototypes.
The goal is not only to teach AI concepts but to demonstrate that students in Abomey-Calavi can create technological solutions for their own community.
At the end of the mini-lab, teams will present their prototypes and ideas, showing how AI could be applied to local challenges in agriculture, environment, or community services.
This project aims to spark a culture of local innovation, encouraging young people to see themselves as creators of technology rather than just users.
The event will bring together students who are curious about technology and give them the confidence to continue exploring AI and data science.
If successful, this mini-lab will become the first step toward a recurring community AI innovation gathering in Abomey-Calavi.
The $1000 grant will support organizing the AI mini-lab in Abomey-Calavi for approximately 25 students.
A comfortable space for collaborative learning and experimentation
Reliable connectivity for cloud-based AI tools and research
Printed guides, project sheets, and reference materials
Essential materials for hands-on project development
Keeping participants energized throughout the sessions
This support will allow students to experiment with AI tools and collaborate on local problem-solving ideas, fostering innovation and practical skill development.
Data Science & Machine Learning Specialist
I am a computer science master's graduate, specialized in data science and machine learning. My work focuses on artificial intelligence and its real-world applications.
Beyond research, I am passionate about making advanced technology accessible to students in Africa. I believe that introducing young people to AI through practical experimentation can empower them to build solutions for challenges in their own communities.
Participants will receive curated open-source resources to jumpstart their AI journey:
Free cloud-based coding environment for AI development with GPU access
→No-code AI tool for creating machine learning models visually
→Extensive library of free datasets for AI/ML projects
→📁 Project Sharing: After the event, prototypes and learning materials will be shared here on GitHub for the broader community.
The mini-lab will take place in Abomey-Calavi, Benin.
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