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# AegisFlood App Flow Document ## Document Overview **Product:** AegisFlood - AI-Powered Flood Prediction & Community Alert System **Version:** v2.0 **Created by:** Product Manager - Sudhan S **Date:** August 2025 --- ## 1. System Architecture Flow ### Data Pipeline Flow ``` [Data Sources] → [ETL Layer] → [Prediction Engine] → [API Layer] → [Frontend/Alerts] ↓ ↓ ↓ ↓ ↓ - IMD Weather Python ML + Hydrology FastAPI Web Dashboard - CWC Rivers Scripts Risk Scoring REST API Mobile App - NWIC Data Scheduled Confidence JSON SMS/WhatsApp - NASA GPM Jobs Levels Response IVR System - DEM Terrain PostgreSQL Cache Push Notifications ``` --- ## 2. User Journey Flows ### 2.1 Citizen User Journey #### **Registration & Onboarding** 1. **Entry Points:** - Web dashboard visit - SMS keyword registration - Mobile app download - Community referral 2. **Registration Flow:** ``` Landing Page → Location Input → Phone Verification → Language Selection → Alert Preferences → Dashboard Access ``` 3. **Onboarding Steps:** - Welcome screen with value proposition - Location permission request - Alert channel preferences (SMS/WhatsApp/Push) - Language selection (Hindi/Assamese/Bengali/English) - Tutorial walkthrough of key features #### **Daily Usage Flow** 1. **Proactive Check:** ``` App Launch → Location Detection → Risk Dashboard → Current Alerts → Weekly Forecast ``` 2. **Alert Response:** ``` Alert Received → Alert Details → Safety Instructions → Confirm Receipt → Share with Family → Report Ground Truth (Optional) ``` ### 2.2 Authority User Journey (SDMA/DDMA/NGO) #### **Admin Dashboard Flow** 1. **Login & Overview:** ``` Authentication → Regional Dashboard → Risk Overview → Active Alerts → Historical Trends ``` 2. **Alert Management:** ``` Risk Detection → Review Prediction → Customize Alert → Select Recipients → Schedule/Send → Monitor Delivery ``` 3. **Citizen Report Review:** ``` New Reports Queue → Verify Authenticity → Update Risk Models → Respond to Citizens → Archive Report ``` --- ## 3. Feature-Specific Flows ### 3.1 Prediction & Alert Generation Flow #### **Backend Process (Automated)** ``` [Every 6 Hours] ↓ Data Collection → Data Validation → Feature Engineering → ML Prediction → Risk Scoring → Threshold Check ↓ [If Risk > Threshold] ↓ Alert Generation → Language Translation → Channel Routing → Delivery Confirmation → Success Logging ``` #### **Alert Delivery Flow** ``` Risk Score Generated → Alert Template Selection → Multi-language Generation → Channel Selection ↓ SMS (Primary) → WhatsApp (Secondary) → Push Notification (Tertiary) → IVR (Fallback) ↓ Delivery Confirmation → User Response Tracking → Analytics Update ``` ### 3.2 Mobile App Flows (Extended Version) #### **Offline-First Architecture** ``` App Launch → Check Connectivity → [Online: Sync Data] / [Offline: Load Cache] → Display Interface ↓ User Interaction → [Online: Real-time Update] / [Offline: Queue Action] → Auto-sync when Connected ``` #### **Citizen Reporting Flow** ``` Report Button → Location Detection → Incident Type Selection → Photo Capture (Optional) → Description Input ↓ Severity Rating → Submit → [Online: Immediate Send] / [Offline: Queue] → Confirmation Message ``` ### 3.3 Web Dashboard Flows #### **Public Dashboard** ``` Homepage → Region Selection → Risk Map View → Layer Toggle (Rainfall/Rivers/Risk Zones) → Detailed Forecast ↓ Historical Data → Trends Analysis → Export Data → Share Report ``` #### **Admin Console** ``` Login → User Management → Alert History → Delivery Analytics → System Health → Report Management ``` --- ## 4. Data Flow Architecture ### 4.1 Real-time Data Pipeline ``` External APIs → Data Validation → PostgreSQL/PostGIS Storage → Feature Calculation → ML Model → Risk Score ↓ API Cache → Frontend Requests → User Interface Update → Alert Triggers → Delivery Services ``` ### 4.2 User Data Flow ``` User Registration → Profile Storage → Location Tracking → Preference Management → Alert History ↓ Engagement Analytics → Feedback Collection → Model Improvement → Personalization ``` --- ## 5. Technical Integration Flows ### 5.1 Third-Party Service Integration #### **SMS/WhatsApp Flow (Twilio)** ``` Alert Trigger → Message Queue → Twilio API → Delivery Status Webhook → Database Update → User Notification ``` #### **Mapping Services Flow** ``` Location Request → Geocoding API → Coordinate Validation → Risk Zone Mapping → Visual Rendering → User Display ``` ### 5.2 API Flow Structure ``` Frontend Request → Authentication Check → Rate Limiting → Route Handler → Database Query → Response Formatting → Client Response ``` --- ## 6. Error Handling & Fallback Flows ### 6.1 Alert Delivery Failures ``` Primary SMS Failure → WhatsApp Retry → Push Notification Backup → IVR Fallback → Community Radio Alert → Manual Notification ``` ### 6.2 Data Source Failures ``` Primary Data Source Down → Secondary Source Activation → Historical Data Fallback → Reduced Confidence Alert → System Status Update ``` ### 6.3 Offline Mobile App Handling ``` Connection Lost → Offline Mode Activation → Cache Data Display → Queue User Actions → Auto-sync on Reconnection → Conflict Resolution ``` --- ## 7. Analytics & Monitoring Flows ### 7.1 Real-time Monitoring ``` System Metrics → Alert Dashboard → Performance Tracking → Error Detection → Automated Alerts → Team Notification ``` ### 7.2 User Analytics ``` User Actions → Event Logging → Data Aggregation → Insight Generation → Dashboard Updates → Product Decisions ``` --- ## 8. Security & Privacy Flows ### 8.1 Data Protection Flow ``` Data Collection → Encryption → Anonymization → Storage → Access Control → Audit Logging → Compliance Check ``` ### 8.2 User Authentication Flow ``` Login Request → Credential Validation → Multi-factor Authentication → Session Management → Token Refresh → Logout Cleanup ``` --- ## 9. Scalability Considerations ### 9.1 Load Balancing Flow ``` User Request → Load Balancer → Available Server → Resource Check → Response Generation → Cache Update → User Response ``` ### 9.2 Database Scaling Flow ``` Data Growth → Performance Monitoring → Threshold Detection → Auto-scaling Trigger → Resource Allocation → Performance Validation ``` --- ## 10. Success Metrics Tracking ### 10.1 Performance Metrics Flow ``` System Event → Metric Collection → Data Aggregation → Threshold Comparison → Alert Generation → Dashboard Update ``` ### 10.2 User Engagement Flow ``` User Action → Event Tracking → Engagement Calculation → Trend Analysis → Improvement Recommendations → Feature Updates ``` --- ## 11. Future State Flows (Scale Phase) ### 11.1 Multi-State Expansion ``` New Region → Data Source Integration → Model Training → Pilot Testing → Full Deployment → Monitoring & Optimization ``` ### 11.2 Partnership Integration ``` Partner Identification → API Integration → Data Sharing → Joint Alert System → Performance Monitoring → Relationship Management ``` --- ## 12. Critical Decision Points ### 12.1 Alert Threshold Management - **Low Risk (0-30%):** Information only - **Medium Risk (31-60%):** Preparation advisory - **High Risk (61-85%):** Immediate action required - **Critical Risk (86-100%):** Emergency evacuation ### 12.2 Language & Localization Routing ``` User Location → Language Detection → Cultural Context → Message Adaptation → Channel Optimization → Delivery ``` --- This app flow document provides the foundation for development teams to understand the complete user journey, technical architecture, and system interactions required for AegisFlood's successful implementation.