SIH26059Software
AI-Enabled Antarctic Sea-Ice, Iceberg Trajectory, and Navigation Decision Support System
Ministry of Earth Sciences (MoES)
Official Description
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.
Official Hackathon Facts
Theme / DomainSmart Education
Track TrackSoftware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyIntermediate
Social Impact Score (5/5)
🔥 High Impact🛰️ Space / Strategic
Primary Tech AreaAI-based Prediction / Recommendation
Technology Stack Tags
AI/MLPredictive AnalyticsAutonomous Navigation
Suggested Skills
PythonTime-series modellingPath Planning
✦ Why This Problem is Interesting
Combines Predictive Analytics with the problem domain, creating a technically focused solution opportunity.
* Note: SIH Fit Analysis contains derived ratings and classification schemas generated to aid team selection; these are not official ratings from the Smart India Hackathon organizers.