A comprehensive, offline-first AI assistant powered by Gemma 3n and advanced computer vision, designed to support first responders, field medics, emergency coordinators, and disaster relief personnel in low-connectivity, high-stakes environments.

• ✅ OpenAI Whisper integration for voice transcription
• ✅ Intelligent hazard keyword detection in speech
• ✅ Computer vision object detection with PyTorch/torchvision
• ✅ Gemma 3n text-based disaster analysis engine
• ✅ Severity scoring and priority classification
• ✅ Basic mobile-responsive UI foundation

• ✅ Dark mode and high contrast accessibility modes
• ✅ Interactive bounding box visualization for detected hazards
• ✅ Canvas-based result downloads (annotated images)
• ✅ Service worker implementation for offline functionality
• ✅ PDF export system for text-based reports
• ✅ Comprehensive hazard detection testing suite

• ✅ Advanced JSON-to-PDF report generator with Jinja2 + WeasyPrint
• ✅ Interactive report builder with live preview (generate.html)
• ✅ GPS coordinate integration and dynamic location mapping
• ✅ Team assignment and checklist management
• ✅ Professional PDF templates with severity badges and embedded imagery

• ✅ Admin dashboard with real-time report filtering
• ✅ Report archive with tone/escalation filters + keyword search
• ✅ SQLite + SQLAlchemy database for persistent storage
• ✅ Role-based authentication using JWT tokens
• ✅ Status tracking + update workflows

• ✅ Offline submission queue with IndexedDB
• ✅ Auto-sync via service workers + retry logic
• ✅ Real-time geolocation broadcast map (Leaflet)
• ✅ WebRTC fallback for peer-to-peer emergency broadcasting
• ✅ /broadcast, /broadcasts API for emergency alerts
• ✅ Sync queue viewer and recovery support

• ✅ Predictive risk scoring using weather/location inputs
• ✅ Broadcast triggering based on risk score threshold
• ✅ Geolocated broadcast pins with color-coded urgency
• ✅ Decentralized P2P broadcasting for offline resilience
• ✅ Modular broadcast system with mesh fallback

• ✅ Live Leaflet map for crowd reports
• ✅ Filtering by tone, escalation, and keyword
• ✅ Cluster markers + escalation-based coloring
• ✅ Dynamic heatmap overlays for report density
• ✅ Map snapshot export view using map_snapshot.html
• ✅ Real-time update polling
• ✅ /api/crowd-report-locations with smart query filters

• ✅ Medical Triage UI with patient intake + color-coded severity (triage_form.html)
• ✅ Patient Tracker with filters, update/discharge buttons (patient_list.html)
• ✅ PDF export of triage status + patient logs
• ✅ Full Jinja2 template refactor using base.html + home.html
• ✅ Offline queue integration for medical reports
• ✅ Edit and discharge views (edit_patient.html, status tracking)

• ✅ Filtering of crowd reports by tone, escalation, and keyword (crowd_reports.html)
• ✅ Export options for PDF, CSV, and JSON
• ✅ Enhanced PDF export with embedded image/audio links
• ✅ export_pdf.html template with styling + timestamp
• ✅ Bulk ZIP export for selected reports (PDFs + metadata)
• ✅ map_snapshot.html rendered Leaflet export for embedding
• ✅ Static map PDF snapshots based on coordinates
• ✅ CrowdReport model updated for full export support

• ✅ live_generate.html live report editor with real-time preview
• ✅ Refactored generate.html to split JS into report-generator.js
• ✅ Refactored hazards.html to modular hazards.js for clarity
• ✅ Base styles and layout consistent across pages
• ✅ View and edit reports from admin dashboard or archive

• 📊 Report analytics (tone, severity, escalation over time)
• 📈 Timeline graphs, heatmaps, and keyword clouds
• 🧮 Per-user activity & top locations summary
• 📥 Export analytics as PNG/PDF
• 📊 Built with Chart.js, Recharts, or Plotly

• 🧾 Multi-stage report lifecycle: Submitted → Reviewed → Resolved
• 🏷️ Tagging, notes, and attachments per status
• 🔁 Workflow escalation: auto-prioritize follow-ups
• 📤 Export lifecycle history with metadata

• 💬 Internal responder chat per incident
• 📎 File and image sharing in chat
• ⏳ Typing indicators, seen/unseen markers
• 📲 Push notifications (PWA + desktop)

• 🎓 Training mode with fake data playback
• 🕹️ Replay of past incident timelines
• 💻 VR/AR support hooks for future expansion
• 📘 Guided scenario checklists

• 🌍 Docker + Gunicorn deployment bundle
• 📡 Prometheus/Grafana metrics
• 🔐 Hardened OAuth2 & SSL setup
• ☁️ Multi-region deployment strategy

• 🌐 Language translation + voice commands
• 🛰️ Satellite and drone imagery ingestion
• 🧬 Predictive health deterioration via vitals
• 🔗 Blockchain timestamping + report integrity
• 👁️‍🗨️ Facial recognition and missing persons matching

• 🐍 FastAPI — High-performance async API framework
• 🤖 Gemma 3n — Google's multimodal transformer for analysis
• 🎙️ OpenAI Whisper — Speech-to-text transcription
• 🧠 PyTorch + torchvision — Computer vision and object detection
• 📊 SQLite — Embedded database for report storage
• 📄 WeasyPrint — Professional PDF generation
• 🔐 JWT + bcrypt — Authentication and security

• 📱 Progressive Web App (PWA) — Offline-first architecture
• 🎨 Custom CSS Framework — Optimized for emergency use
• 🗺️ Leaflet.js — Interactive mapping and geolocation
• 💾 IndexedDB — Client-side database for offline storage
• 🔄 Service Workers — Background sync and caching
• ♿ WCAG 2.1 AA — Accessibility compliance

• 🔍 COCO Object Detection — Pre-trained hazard recognition
• 📝 Custom NLP Models — Emergency-specific language processing
• 📊 Severity Scoring Algorithm — Multi-factor risk assessment
• 🎯 Keyword Detection Engine — Audio hazard identification
• 🔄 Continuous Learning Pipeline — Model improvement from usage

CREATE TABLE reports (
   id TEXT PRIMARY KEY,
   timestamp TEXT,
   location TEXT,
   severity REAL,
   filename TEXT,
   user TEXT,
   status TEXT,
   image_url TEXT,
   checklist TEXT,
   coordinates TEXT,
   hazards TEXT
);