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SIH2026-IDEA-Presentation(draft).pptxjjjhhjj

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TITLE PAGE SMART INDIA HACKATHON 2026 • Problem Statement ID – S32 • Problem Statement Title- • Theme- • PS Category- Software • Team ID- • Team Name (Registered on portal)
IDEA TITLE 2 @SIH Idea submission- Template Your Team Name Proposed Solution A simple, trustworthy system that brings together multiple hazard signals and turns them into clear, actionable alerts. What It Does • Fuses weather, river, seismic, fire, and citizen reports into real-time, confidence-scored hazard alerts • Shows every alert with a confidence score and evidence sources for transparency • Reduces false alarms through intelligent deduplication • Improves accuracy with rolling reliability scoring for citizen reports Two Interfaces Mobile App for Citizens • Location-aware push alerts • Actionable guidance for evacuation, shelter, and resources • Clear, role-based instructions Web Console for Authorities • Verify incoming hazard signals • Deploy resources from a central dashboard • Clear, role-based operational guidance
TECHNICALAPPROACH Risk Score Formula • Risk Score = (Weather × 0.30) + (River × 0.30) + (Citizen × 0.20) + (Infrastructure × 0.10) + (Historical × 0.10) • Confidence is based on source count, reliability, agreement, recency, and location accuracy • Deterministic rule-based fusion keeps the system transparent and explainable 3 @SIH Idea submission- Template Your Team Name Data Sources • Weather - Open-Meteo API • River - CWC / India-WRIS • Seismic - USGS Feed • Fire - NASA FIRMS • Citizens - app reports and photos Tech Stack • Frontend: React Native for mobile, Next.js for web, Leaflet maps, Socket.IO for real-time updates, Firebase for push notifications • Backend: Node.js and Express, MongoDB with geospatial indexing, Socket.IO for live communication
FEASIBILITY AND VIABILITY Why It's Feasible • All data sources are public and free (IMD, CWC, USGS, NASA) • No complex AI/ML - rule-based fusion is straightforward to build and debug • Team experienced with Node.js, React, MongoDB • Mobile prototype achievable in weeks using React Native + Expo 4 @SIH Idea submission- Template Your Team Name Key Challenges & Solutions • Multiple APIs, different speeds: circuit breakers and cached fallback data • Geospatial queries at scale: MongoDB 2dsphere indexing handles efficiently • False citizen reports: rolling reliability scoring filters low-quality inputs • Push notification reliability: Firebase FCM plus offline cache ensures delivery Scalability • Docker containers for horizontal scaling • MongoDB sharding by region • CDN delivery for map tiles
IMPACT AND BENEFITS Key outcomes • 40–60% false alarm reduction through intelligent deduplication • Faster response times by turning hours into minutes with hyperlocal alerts • 5+ hazard types covered, including weather, flood, seismic, fire, and citizen reports 5 @SIH Idea submission- Template Your Team Name Who benefits • Citizens - real-time alerts with shelter and evacuation guidance • Authorities - verified signals for quicker resource deployment • NGOs - incident data for better coordinated relief • Institutions - campus-level hazard monitoring Broader impact • Multilingual alerts and offline mode support low-connectivity areas • Crowd-sourced data continuously improves accuracy • Faster evacuation can help save lives • Supports India's Sendai Framework commitments for disaster risk reduction • Builds long-term community resilience
RESEARCH AND REFERENCES Data Sources - All Public & Free • IMD - Rainfall & weather forecasts • CWC / India-WRIS - River level thresholds • USGS - Global earthquake feed • NASA FIRMS -Wildfire hotspot data • OpenStreet Map - Infrastructure & geospatial base layer 6 @SIH Idea submission- Template Your Team Name Technology Stack • Mobile - React Native + Expo • Web Console - Next.js + Leaflet • Backend - Node.js + Express • Database - MongoDB (geospatial) • Real-Time - Socket.IO + Firebase FCM Standards & Frameworks • Sendai Framework for Disaster Risk Reduction 2015-2030 • India's National Disaster Management Plan • WMO Multi-Hazard Early Warning Systems best practices
RESEARCH AND REFERENCES Data Sources - All Public & Free • IMD - Rainfall & weather forecasts • CWC / India-WRIS - River level thresholds • USGS - Global earthquake feed • NASA FIRMS -Wildfire hotspot data • OpenStreet Map - Infrastructure & geospatial base layer 7 @SIH Idea submission- Template Your Team Name Technology Stack • Mobile - React Native + Expo • Web Console - Next.js + Leaflet • Backend - Node.js + Express • Database - MongoDB (geospatial) • Real-Time - Socket.IO + Firebase FCM Standards & Frameworks • Sendai Framework for Disaster Risk Reduction 2015-2030 • India's National Disaster Management Plan • WMO Multi-Hazard Early Warning Systems best practices