SIH Fitby Dhamodharan • For SIH Students
Browse All
Back to Explorer
SIH26070Software

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.

Ministry of Earth Sciences (MoES)

Official Description

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.

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 AnalyticsRemote Sensing
Suggested Skills
PythonTime-series modellingSatellite data processing
✦ Why This Problem is Interesting

Combines Remote Sensing, 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.