Third-year Mechatronics Engineering student at the Federal University of Technology, Minna (Nigeria). My research interest is sensing for miniaturized continuum surgical robots: most current approaches (fiber-optic, strain, vision-based tactile, electromagnetic) work as single, isolated modalities, and multimodal fusion below 5 mm is still rare. I am building small projects around that gap.
| Project | What it is | Tools |
|---|---|---|
| MicroSense Fusion | Two-sensor fusion on synthetic data: complementary filter vs. 1D Kalman filter. Kalman cut error by about 24% against the better sensor, but added lag. | Python, NumPy, Matplotlib |
| Continuum Bending Visualizer | Constant-curvature model of a three-segment continuum robot, and how curvature sensing errors move the tip. | Python, Matplotlib |
| Multi-Patient Triage Alert Engine | Flags abnormal heart rate, blood pressure and temperature across patients and plots trends. Team CodeX, 1st runner-up among 15 teams (MATLAB bootcamp with MathWorks). | MATLAB |
| HydroSense | Offline irrigation advisory: a 209-parameter neural network runs on an ESP32 and sends SMS alerts. Simulated in Wokwi. | ESP32, C++, TensorFlow Lite |
| BotanIQ | Offline tomato-disease detector (95% accuracy), led by me with 18 engineers across Nigeria, Kenya and Sierra Leone. | TensorFlow, EfficientNet, Streamlit |
- MATLAB and Simulink, beyond the MathWorks Onramps, through the official MATLAB channel
- Forward and inverse kinematics, modelled in MATLAB and Simulink
- Robot perception, through the Cornell CS 4756 lectures and free university robotics materials
- Deep learning and OpenCV
Python · C++ · MATLAB/Simulink · ESP32/Arduino · TensorFlow / TensorFlow Lite · NumPy · Matplotlib · Git