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PS 26191SOFTWAREDisaster ManagementModerate Scope

Intelligent Identification of Hazard-Based Red Zones, Carrying Capacity Assessment, and Immediate Relocation Needs for Vulnerable Habitations

Ministry of Home AffairsNational Disaster Response Force (NDRF), DM Division
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30-Second Plain English Summary

Fragile Himalayan eco-sensitive pilgrimage towns (Joshimath, Kedarnath, Manali, Shimla) face catastrophic land subsidence, slope destabilization, and traffic gridlocks due to unregulated tourist influx exceeding local ecological carrying capacities. Build an AI-Driven Hazard-Based Red Zone and Dynamic Tourist Carrying Capacity Management Platform for the Ministry of Home Affairs (MHA / NDMA) that fuses InSAR satellite ground deformation, geotechnical slope stability models, and real-time mobile cell-tower crowd densities to dynamically regulate tourist entry permits and establish prohibited construction zones.

5-Dimension Strategic ScorecardOverall Score: 3.8 / 5.0
Innovation
3.9 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.5 / 5
Jury Appeal
3.9 / 5
Tech Depth
3.6 / 5
Recommended System Architecture Pipeline
Sentinel-1 InSAR + FASTag Toll Data + AWS Soil Moisture -> Dynamic Carrying Capacity Engine -> Geotechnical Red-Zone Model -> Char Dham e-Pass Bus -> NDMA Himalayan Command Console
Recommended Tech StackClick to search similar
Official Government Problem 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.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26191: "Intelligent Identification of Hazard-Based Red Zones, Carrying Capacity Assessment, and Immediate Relocation Needs for Vulnerable Habitations", Ministry: Ministry of Home Affairs. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26191)

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