Deep Learning Intern, Egyptian Space Agency
ImageLand Cover Classification
Developed and implemented machine learning algorithms to process satellite imagery for land change detection. Used data preprocessing, classification algorithms, and visualization tools to support environmental monitoring. Analyzed remote sensing data to detect land use and cover changes in Egypt. • Applied classification and segmentation techniques for analyzing geospatial data.
• Processed and labeled image datasets for research and development.
• Used Python and machine learning libraries for satellite image interpretation.
• Supported sustainable development planning through improved data analysis.
Developed and implemented machine learning algorithms to process satellite imagery for land change detection. Used data preprocessing, classification algorithms, and visualization tools to support environmental monitoring. Analyzed remote sensing data to detect land use and cover changes in Egypt. • Applied classification and segmentation techniques for analyzing geospatial data. • Processed and labeled image datasets for research and development. • Used Python and machine learning libraries for satellite image interpretation. • Supported sustainable development planning through improved data analysis.
2022 - 2022