On GeoVision AI, I helped develop a platform for exploring urban expansion and vegetation change. I classified Sentinel-2 imagery of Sheikh Zayed City for 2019 and 2024 with Random Forest, reaching 83–86% accuracy, and developed the FastAPI and PostGIS backend and Leaflet.js dashboard.
For my Cairo research, I combined deep learning models with ArcGIS to monitor and analyze urban change; the project won 1st place in Ain Shams University’s Best Student Research Award, Environment field (2025–2026). I also built a WebGIS system for Abu Sennan Field oil well data, including coordinate conversion and tools to search, filter, and inspect wells.
