SIH26059

AI-Enabled Antarctic Sea-Ice, Iceberg Trajectory, and Navigation Decision Support System

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Metadata & Specs

Organization

Ministry of Earth Sciences (MoES)

Department

National Centre for Polar andOcean Research (NCPOR)

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Problem Description & Statement Details

Develop an AI/ML-enabled decision support platform capable of forecasting Antarctic sea-ice concentration, predicting iceberg trajectories, and identifying safe and fuel-efficient navigation routes for research vessels using satellite,oceanographic and meteorological datasets.

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MoSPI20 September 2026

Ministry of Earth Sciences (MoES) · Software · Deadline 20 September 2026

AI-Enabled Antarctic Sea-Ice, Iceberg Trajectory, and Navigation Decision Support System

Metadata & Specs

Quick Navigation

Problem Description & Statement Details

Similar Problem StatementsSame Theme or Organization

Al-Powered Vernacular Pedagogy and Real-Time Translation Tool for Mother Tongue-Based Primary Education

To develop an Artificial Intelligence (AI) / Machine Learning (ML) based system for identification, classification, and prediction of different tropical cyclone patterns using multi-source satellite data.

Participants are invited to design and develop **CAPACITY CONNECT A Digital Capacity Building and Learning Management Portal** to support organizational training, competency development, and knowledge sharing through a centralized web-based platform.

AI-Enabled Cooperative Capacity Building, ERP & Employment Ecosystem

AI-Driven voice Assistant for livelihood Mapping and NSQF-Aligned Skilling Recommendations for SC Communities under GIA component of PM-AJAY

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Participants are invited to design and develop CAPACITY CONNECT A Digital Capacity Building and Learning Management Portal to support organizational training, competency development, and knowledge sharing through a centralized web-based platform.