Oceanic Plastic Waste Detection with AI and Remote Sensing

To enable participants to apply AI and remote sensing techniques for detecting, tracking, and optimizing responses to oceanic plastic pollution.

• Understand satellite-based detection of ocean plastic.
• Apply AI models for debris identification and segmentation.
• Develop predictive models for plastic drift tracking.
• Explore optimization techniques for cleanup planning.
• Gain hands-on implementation experience.

• Postgraduate students, Ph.D. scholars, researchers, and academicians in relevant fields
• Industry professionals working in sustainability, climate tech, or geospatial analytics
• Basic knowledge of Python and machine learning is recommended
• Familiarity with remote sensing or satellite data is beneficial but not mandatory

• Analyze satellite data for marine plastic detection.
• Develop AI models for debris identification and drift prediction.
• Apply optimization methods for cleanup planning.
• Implement practical AI workflows for ocean monitoring.