Machine Learning for Oil Spill Detection via Satellite Imagery

Spearheaded the development of an oil spill detection system using Artificial Neural Networks (ANN), achieving 96.88% accuracy by classifying ocean satellite images.

The project involved processing satellite images and optimizing the model’s performance through feature standardization. Enabled real-time analysis and visualization of outputs, enhancing usability for environmental monitoring agencies.