AgriTech Automated Seeder
Lead Developer · AI & Robotics Summer Program, Ethiopian Artificial Intelligence Institute
- Selected for a fully government-funded program with a 4% acceptance rate for intensive training in C++, Python and embedded systems.
- Led a five-member team to engineer an Arduino–Raspberry Pi automated seeder, integrating PID control for motor precision and Kalman filters to minimize sensor noise.
- Developed control firmware in Arduino C and Python that increased planting speed 3× and reduced seed-placement error from 32% to 15%.
- Validated performance through field testing — preventing an estimated 4,000 misplaced seeds per hectare.
- Selected to demonstrate the prototype to 400+ attendees, including the Prime Minister of Ethiopia, at the national graduation ceremony.
