GeoAI and land-use classification
Applying machine learning to spatial and remote sensing data for practical mapping workflows.
A research and documentary project examining how suspension policies shape student progression, wellbeing, and long-term outcomes.
Active research and documentation in progress.
I am currently gathering institutional patterns, lived student experiences, and policy context to produce both research outputs and a suspension documentary archive.
If you want to collaborate or sponsor this work, I am open, and I can share all research materials connected to the suspension documentary with partners and supporters.
Applying machine learning to spatial and remote sensing data for practical mapping workflows.
Exploring geodetic methods, measurement systems, and how they support spatial accuracy.
Using interviews, field notes, and visual records to preserve lived experience with care.
Tracking differences in suspension frameworks and how they vary by institutional context.
Collecting interviews, narratives, and records to preserve student experience with care and accuracy.
Opening the project to researchers, institutions, and sponsors interested in student outcomes in Nigeria.