Uganda's girls robotics and embedded AI pathway
GRAB Labs Uganda
A hands-on program helping girls move from computing curiosity to robotics, sensors, embedded systems, and AI-powered prototypes.
Why this matters
The drop-off is visible.
In Ronnie's Computer Science class, only 16 of 80 students were girls. In a robotics course unit under Computer Science, only 1 of 14 students was a girl.
Across two editions of AIFest Uganda, many student teams have built AI solutions, but no girls' team has yet emerged with a robotics and AI project. Robotics mentorship through GDG and WRO Uganda activities has shown the same pattern: girls are interested, but too few enter the room.
Program objectives
From exposure to builders.
GRAB Labs Uganda will create a guided pathway where girls learn, prototype, receive mentorship, and showcase robotics and embedded AI ideas.
Train 80 girls
Robotics, embedded systems, sensors, Python, and AI fundamentals.
Form 20 teams
Girl-led teams that move from learning labs into real projects.
Build 15 prototypes
Working robotics and AI prototypes ready for a final showcase.
Engage mentors
At least 10 mentors from IEEE, GDG, SheCircuits, WIE, and partners.
Measure confidence
Pre/post surveys will track interest, confidence, and continuation plans.
Learning pathway
What participants will build with.
Robotics foundations
Motors, movement, control loops, simple robot behavior, and safe lab practice.
Embedded systems
Arduino/ESP32, sensors, data capture, actuators, and real-world prototyping.
Edge AI basics
Computer vision and lightweight AI concepts introduced through approachable demos.
Team prototyping
Girls work in teams with mentors to build, test, document, and present ideas.
Tentative timeline
Month-by-month pathway
Exact workshop dates will be announced after partner confirmations and grant decisions.
Partner setup & recruitment
Confirm partners, mentors, venues, and participant recruitment channels.
Robotics starter labs
Hands-on sessions in microcontrollers, sensors, robotics basics, and teamwork.
Embedded AI labs
Introduce AI concepts, sensor data, edge demos, and prototype themes.
Team build sprints
20 girl-led teams build projects with technical mentor reviews.
GRAB Labs showcase
Prototype demos, feedback, impact reporting, and next-step pathways.
Lead team
Built by organizers who already run communities.
Ronnie Atuhaire
Project Lead
Outgoing IEEE SB Makerere Chair, AIFest Uganda Lead Organizer, GDG/WRO robotics mentor.Shakiran Nannyombi
Co-Lead & Computing Pathways Lead
IEEE Computer Society Chapter Makerere Chair and GDG On Campus Makerere Lead.Anthony Ijoot
Hardware & Circuits Pathways Lead
Current IEEE CAS Chair and incoming IEEE Student Branch Makerere Chair.Diana Najjuma
Embedded Systems & Girls Robotics Mentor
SheCircuits Uganda member and embedded systems engineer.Letasi Swaida
WIE & Inclusion Lead
WIE Makerere Chair leading outreach, retention, and inclusive participant support.Registration
Coming soon.
GRAB Labs Uganda registration will open after partner and program confirmations. Follow AIFest Uganda for calendar updates and related build events.
Open AIFest events calendarProspective collaborators