SIH26191Software
Intelligent Identification of Hazard-Based Red Zones, Carrying Capacity Assessment, and Immediate Relocation Needs for Vulnerable Habitations
Ministry of Home Affairs
Official Description
• Background India’s disaster-prone regions face recurring hazards such as landslides,floods, coastal erosion, and cloudbursts. Vulnerable habitations often remain in unsafe zones, leading to repeated loss of lives and property.Current relocation efforts are largely reactive, initiated after disasters strike, rather than proactively planned.
• Description The initiative seeks to develop an intelligent, GIS-enabled decision support platform. This platform will dynamically identify and update multi-hazard Red Zones (areas unsuitable for permanent habitation),assess the carrying capacity of safer alternative sites, and prioritize vulnerable habitations for relocation. The system will integrate hazard intensity, population vulnerability, and disaster history to guide evidence-based decisions.
• Expected Solution A robust, AI-driven GIS platform that Maps and updates hazard-based Red Zones in real time, assesses suitability and carrying capacity of safer relocation sites, prioritizes vulnerable habitations for immediate,short-term, and medium-term relocation and provides actionable insights to State Disaster Management Authorities for proactive planning.
Official Hackathon Facts
Theme / DomainDisaster Management
Track TrackSoftware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyIntermediate
Social Impact Score (5/5)
🔥 High Impact🌍 High Social Impact
Primary Tech AreaAI-based Prediction / Recommendation
Technology Stack Tags
AI/MLPredictive AnalyticsGISGIS / Remote Sensing
Suggested Skills
PythonTime-series modellingQGIS/ArcGIS
✦ Why This Problem is Interesting
Combines GIS, 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.
