Web Update

web/src/app/components/DirectionsSidebar.tsx

@@ -4,7 +4,8 @@ import React, { useEffect, useRef, useState } from "react";
 import mapboxgl from "mapbox-gl";
 import GeocodeInput from './GeocodeInput';
 import { useCrashData } from '../hooks/useCrashData';
-import { calculateRouteCrashDensity, createRouteGradientStops } from '../lib/mapUtils';
+import { calculateRouteCrashDensity, createRouteGradientStops } from '../../lib/mapUtils';
+import { fetchSafeRoute, type SafeRouteData } from '../../lib/flaskApi';
 
 interface Props {
   mapRef: React.MutableRefObject<mapboxgl.Map | null>;
@@ -16,6 +17,8 @@ interface Props {
 
 // Routing now uses geocoder-only selection inside the sidebar (no manual coordinate parsing)
 
+// Routing now uses geocoder-only selection inside the sidebar (no manual coordinate parsing)
+
 export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving", onMapPickingModeChange, gradientRoutes = true, mapStyleChoice = 'dark' }: Props) {
   // Sidebar supports collapse via a hamburger button in the header
   const [collapsed, setCollapsed] = useState(false);
@@ -32,6 +35,10 @@ export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving",
   const [isDestMapPicking, setIsDestMapPicking] = useState(false);
   const [routes, setRoutes] = useState<any[]>([]);
   const [selectedRouteIndex, setSelectedRouteIndex] = useState(0);
+  // Safe route functionality
+  const [safeRouteData, setSafeRouteData] = useState<SafeRouteData | null>(null);
+  const [safeRouteLoading, setSafeRouteLoading] = useState(false);
+  const [showSafeRoute, setShowSafeRoute] = useState(false);
   // custom geocoder inputs + suggestions (we implement our own UI instead of the library)
   const originQueryRef = useRef<string>("");
   const destQueryRef = useRef<string>("");
@@ -45,6 +52,26 @@ export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving",
   const destInputRef = useRef<HTMLDivElement | null>(null);
   const mountedRef = useRef(true);
 
+  // Helper function to normalize safety score to 0-10 scale
+  const normalizeSafetyScore = (rawScore: number): number => {
+    console.log('Raw safety score:', rawScore); // Debug log
+    
+    // Based on the safety score calculation:
+    // - 0 = no crashes (perfectly safe) 
+    // - 1-5 = low danger
+    // - 5-20 = moderate danger  
+    // - 20+ = high danger
+    
+    if (rawScore === 0) return 10; // Perfect safety
+    
+    // Use logarithmic scale to handle wide range of scores
+    // Map common ranges: 0.1->9.5, 1->8, 5->6, 20->3, 50->1, 100+->0
+    const safetyScore = Math.max(0, 10 - Math.log10(rawScore + 1) * 2.5);
+    
+    console.log('Normalized safety score:', safetyScore); // Debug log
+    return Math.max(0, Math.min(10, safetyScore));
+  };
+
   useEffect(() => {
     return () => { mountedRef.current = false; };
   }, []);
@@ -495,6 +522,75 @@ export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving",
     // Clear multiple routes state
     setRoutes([]);
     setSelectedRouteIndex(0);
+    // Clear safe route state
+    setSafeRouteData(null);
+    setShowSafeRoute(false);
+    // Remove safe route from map if it exists
+    if (map) {
+      try {
+        if (map.getLayer("safe-route-line")) map.removeLayer("safe-route-line");
+        if (map.getSource("safe-route")) map.removeSource("safe-route");
+      } catch (e) {}
+    }
+  }
+
+  // Safe route functionality
+  async function handleGetSafeRoute() {
+    const map = mapRef.current;
+    if (!map) return;
+    const o = originCoord;
+    const d = destCoord;
+    if (!o || !d) {
+      alert('Please select both origin and destination using the location search boxes.');
+      return;
+    }
+
+    setSafeRouteLoading(true);
+    try {
+      const safeRouteResult = await fetchSafeRoute(o[1], o[0], d[1], d[0]); // API expects lat, lon
+      console.log('Safe route result:', safeRouteResult);
+      setSafeRouteData(safeRouteResult);
+      setShowSafeRoute(true);
+
+      // If we have a recommended route, display it
+      if (safeRouteResult.recommended_route?.geometry?.coordinates) {
+        const safeRouteGeo: GeoJSON.Feature<GeoJSON.Geometry> = {
+          type: "Feature",
+          properties: { type: "safe-route" },
+          geometry: {
+            type: "LineString",
+            coordinates: safeRouteResult.recommended_route.geometry.coordinates
+          }
+        };
+
+        // Add safe route to map
+        if (!map.getSource("safe-route")) {
+          map.addSource("safe-route", { type: "geojson", data: safeRouteGeo });
+        } else {
+          (map.getSource("safe-route") as mapboxgl.GeoJSONSource).setData(safeRouteGeo);
+        }
+
+        if (!map.getLayer("safe-route-line")) {
+          map.addLayer({
+            id: "safe-route-line",
+            type: "line",
+            source: "safe-route",
+            layout: { "line-join": "round", "line-cap": "round" },
+            paint: { 
+              "line-color": "#10b981", // green color for safe route
+              "line-width": 6, 
+              "line-opacity": 0.8,
+              "line-dasharray": [1, 1] // subtle dashed line to differentiate
+            },
+          });
+        }
+      }
+    } catch (error) {
+      console.error('Error fetching safe route:', error);
+      alert('Failed to fetch safe route. Please try again.');
+    } finally {
+      setSafeRouteLoading(false);
+    }
   }
 
   // re-add layers after style change
@@ -683,8 +779,9 @@ export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving",
             </div>
 
             <div className="flex gap-2 mt-2">
-              <button onClick={handleGetRoute} disabled={loading} className="flex-1 px-4 py-2 rounded-lg text-white shadow-md disabled:opacity-60 transition-colors" style={{ backgroundColor: 'var(--panel-dark)' }}>{loading ? 'Routing…' : 'Get Route'}</button>
+              <button onClick={handleGetRoute} disabled={loading} className="flex-1 px-3 py-2 rounded-lg text-white shadow-md disabled:opacity-60 transition-colors text-sm" style={{ backgroundColor: 'var(--panel-dark)' }}>{loading ? 'Routing…' : 'Get Route'}</button>
-              <button onClick={handleClear} className="px-4 py-2 rounded-lg border text-sm text-[#d1d5db] transition-colors" style={{ backgroundColor: 'var(--panel-medium)', borderColor: 'var(--panel-light)' }} onMouseEnter={(e) => (e.target as HTMLButtonElement).style.backgroundColor = 'var(--panel-light)'} onMouseLeave={(e) => (e.target as HTMLButtonElement).style.backgroundColor = 'var(--panel-medium)'}>Clear</button>
+              <button onClick={handleGetSafeRoute} disabled={safeRouteLoading} className="flex-1 px-3 py-2 rounded-lg text-white shadow-md disabled:opacity-60 transition-colors text-sm" style={{ backgroundColor: '#10b981' }}>{safeRouteLoading ? 'AI Routing…' : 'Safe Route'}</button>
+              <button onClick={handleClear} className="px-3 py-2 rounded-lg border text-sm text-[#d1d5db] transition-colors" style={{ backgroundColor: 'var(--panel-medium)', borderColor: 'var(--panel-light)' }} onMouseEnter={(e) => (e.target as HTMLButtonElement).style.backgroundColor = 'var(--panel-light)'} onMouseLeave={(e) => (e.target as HTMLButtonElement).style.backgroundColor = 'var(--panel-medium)'}>Clear</button>
             </div>
 
             {/* Route Options */}
@@ -787,6 +884,66 @@ export default function DirectionsSidebar({ mapRef, profile = "mapbox/driving",
               </div>
             )}
 
+            {/* Safe Route Analysis */}
+            {showSafeRoute && safeRouteData && (
+              <div className="mt-4 p-3 rounded-lg border border-[#10b981]" style={{ backgroundColor: 'var(--panel-dark)' }}>
+                <div className="flex items-center gap-2 mb-2">
+                  <svg className="w-4 h-4 text-[#10b981]" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                    <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 12l2 2 4-4m5.618-4.016A11.955 11.955 0 0112 2.944a11.955 11.955 0 01-8.618 3.04A12.02 12.02 0 003 9c0 5.591 3.824 10.29 9 11.622 5.176-1.332 9-6.03 9-11.622 0-1.042-.133-2.052-.382-3.016z" />
+                  </svg>
+                  <span className="text-sm font-medium text-[#ecfdf5]">AI Safe Route Analysis</span>
+                </div>
+                
+                <div className="space-y-2">
+                  <div className="text-xs text-[#a7f3d0]">
+                    <div className="flex justify-between">
+                      <span>Safety Score:</span>
+                      <span className={`font-medium ${
+                        normalizeSafetyScore(safeRouteData.recommended_route.safety_score) >= 7 
+                          ? 'text-green-400' 
+                          : normalizeSafetyScore(safeRouteData.recommended_route.safety_score) >= 4 
+                            ? 'text-yellow-400' 
+                            : 'text-red-400'
+                      }`}>
+                        {normalizeSafetyScore(safeRouteData.recommended_route.safety_score).toFixed(1)}/10
+                      </span>
+                    </div>
+                    <div className="flex justify-between">
+                      <span>Distance:</span>
+                      <span className="font-medium">{safeRouteData.recommended_route.distance_km.toFixed(1)} km</span>
+                    </div>
+                    <div className="flex justify-between">
+                      <span>Duration:</span>
+                      <span className="font-medium">{Math.round(safeRouteData.recommended_route.duration_min)} min</span>
+                    </div>
+                    <div className="flex justify-between">
+                      <span>Crashes Nearby:</span>
+                      <span className="font-medium">{safeRouteData.recommended_route.crashes_nearby}</span>
+                    </div>
+                  </div>
+                  
+                  {safeRouteData.safety_analysis && (
+                    <div className="text-xs text-[#a7f3d0] border-t border-[#065f46] pt-2">
+                      <div className="font-medium mb-1">Safety Analysis:</div>
+                      <div className="text-[#6ee7b7]">{safeRouteData.safety_analysis}</div>
+                    </div>
+                  )}
+                  
+                  {safeRouteData.weather_summary && (
+                    <div className="text-xs text-[#a7f3d0] border-t border-[#065f46] pt-2">
+                      <div className="font-medium mb-1">Weather Conditions:</div>
+                      <div className="text-[#6ee7b7]">{safeRouteData.weather_summary}</div>
+                    </div>
+                  )}
+
+                  <div className="mt-2 text-xs text-[#a7f3d0] flex items-center">
+                    <span className="inline-block w-3 h-0.5 bg-[#10b981] mr-2"></span>
+                    Green line shows AI-recommended safe route
+                  </div>
+                </div>
+              </div>
+            )}
+
             {/* Route Safety Legend */}
             {(originCoord && destCoord) && (
               <div className="mt-4 p-3 rounded-lg border" style={{ backgroundColor: 'var(--panel-medium)', borderColor: 'var(--panel-light)' }}>

web/src/app/components/MapView.tsx

@@ -5,7 +5,7 @@ import mapboxgl from 'mapbox-gl';
 import 'mapbox-gl/dist/mapbox-gl.css';
 import MapboxGeocoder from '@mapbox/mapbox-gl-geocoder';
 import '@mapbox/mapbox-gl-geocoder/dist/mapbox-gl-geocoder.css';
-import { generateDCPoints, generateDCPointsWithAI, haversine, PointFeature, convertCrashDataToGeoJSON, convertCrashDataToGeoJSONWithAI } from '../lib/mapUtils';
+import { convertSyntheticDataToGeoJSON, haversine, PointFeature, convertCrashDataToGeoJSON } from '../../lib/mapUtils';
 import { useCrashData, UseCrashDataResult } from '../hooks/useCrashData';
 import { CrashData } from '../api/crashes/route';
 import { WeatherData, CrashAnalysisData } from '../../lib/flaskApi';
@@ -49,7 +49,6 @@ interface MapViewProps {
 	crashData?: CrashData[]; // external crash data to use
 	crashDataHook?: UseCrashDataResult; // the crash data hook from main page
 	isMapPickingMode?: boolean; // whether map is in picking mode (prevents popups)
-	useAIMagnitudes?: boolean; // whether to use AI-predicted crash magnitudes
 }
 
 export default function MapView({ 
@@ -64,8 +63,7 @@ export default function MapView({
 	useRealCrashData = true,
 	crashData = [],
 	crashDataHook,
-	isMapPickingMode = false,
+	isMapPickingMode = false
-	useAIMagnitudes = true // Default to true to use AI predictions
 }: MapViewProps) {
 	const containerRef = useRef<HTMLDivElement | null>(null);
 	const mapContainerRef = useRef<HTMLDivElement | null>(null);
@@ -92,16 +90,11 @@ export default function MapView({
 			console.log('Converting crash data to GeoJSON...');
 			
 			const processData = async () => {
-				setIsLoadingAIPredictions(useAIMagnitudes);
+				setIsLoadingAIPredictions(false); // No AI predictions anymore
 				
 				let geoJSONData: GeoJSON.FeatureCollection;
-				if (useAIMagnitudes) {
+				console.log(`🗺️ Processing crash data: traditional mode`);
-					console.log('🤖 Using AI-enhanced crash data conversion...');
+				geoJSONData = convertCrashDataToGeoJSON(activeData);
-					geoJSONData = await convertCrashDataToGeoJSONWithAI(activeData);
-				} else {
-					console.log('📊 Using standard crash data conversion...');
-					geoJSONData = convertCrashDataToGeoJSON(activeData);
-				}
 				
 				dcDataRef.current = geoJSONData;
 				setIsLoadingAIPredictions(false);
@@ -120,7 +113,7 @@ export default function MapView({
 			
 			processData().catch(console.error);
 		}
-	}, [crashData, crashDataHook, useRealCrashData, useAIMagnitudes]);
+	}, [crashData, crashDataHook, useRealCrashData]);
 
 	useEffect(() => {
 		const el = containerRef.current;
@@ -203,24 +196,13 @@ export default function MapView({
 		const initializeData = async () => {
 			if (useRealCrashData && activeData.length > 0) {
 				console.log('Using real crash data');
-				if (useAIMagnitudes) {
+				setIsLoadingAIPredictions(false);
-					setIsLoadingAIPredictions(true);
+				console.log(`🗺️ Processing real crash data: traditional mode`);
-					console.log('🤖 Using AI-enhanced real crash data...');
+				dcDataRef.current = convertCrashDataToGeoJSON(activeData);
-					dcDataRef.current = await convertCrashDataToGeoJSONWithAI(activeData);
+				setIsLoadingAIPredictions(false);
-					setIsLoadingAIPredictions(false);
-				} else {
-					dcDataRef.current = convertCrashDataToGeoJSON(activeData);
-				}
 			} else if (!useRealCrashData) {
 				console.log('Using synthetic data');
-				if (useAIMagnitudes) {
+				dcDataRef.current = convertSyntheticDataToGeoJSON(38.9072, -77.0369, 900);
-					setIsLoadingAIPredictions(true);
-					console.log('🤖 Using AI-enhanced synthetic data...');
-					dcDataRef.current = await generateDCPointsWithAI(900);
-					setIsLoadingAIPredictions(false);
-				} else {
-					dcDataRef.current = generateDCPoints(900);
-				}
 			} else {
 				console.log('No data available yet, using empty data');
 				dcDataRef.current = { type: 'FeatureCollection' as const, features: [] };

web/src/app/components/UnifiedControlPanel.tsx

@@ -1,8 +1,8 @@
 "use client";
 
-import React, { useState, useEffect } from 'react';
+import React, { useState, useEffect, useRef } from 'react';
+import CrashDataControls from './CrashDataControls';
 import { UseCrashDataResult } from '../hooks/useCrashData';
-import { getCircuitBreakerStatus } from '../../lib/crashMagnitudeApi';
 
 interface UnifiedControlPanelProps {
 	// Map controls props
@@ -18,8 +18,6 @@ interface UnifiedControlPanelProps {
 	onChangeIntensity: (v: number) => void;
 	gradientRoutes: boolean;
 	onToggleGradientRoutes: (v: boolean) => void;
-	useAIMagnitudes: boolean;
-	onToggleAIMagnitudes: (v: boolean) => void;
 	
 	// Crash data controls props
 	crashDataHook: UseCrashDataResult;
@@ -39,8 +37,6 @@ export default function UnifiedControlPanel({
 	onChangeIntensity,
 	gradientRoutes,
 	onToggleGradientRoutes,
-	useAIMagnitudes,
-	onToggleAIMagnitudes,
 	crashDataHook,
 	onDataLoaded
 }: UnifiedControlPanelProps) {
@@ -64,7 +60,6 @@ export default function UnifiedControlPanel({
 	const [isMapControlsSectionOpen, setIsMapControlsSectionOpen] = useState(getInitialMapControlsState);
 	const [isCrashDataSectionOpen, setIsCrashDataSectionOpen] = useState(getInitialCrashDataState);
 	const [isHydrated, setIsHydrated] = useState(false);
-	const [aiApiStatus, setAiApiStatus] = useState<{ isOpen: boolean; failures: number }>({ isOpen: false, failures: 0 });
 	
 	// Load localStorage values after hydration
 	useEffect(() => {
@@ -85,28 +80,6 @@ export default function UnifiedControlPanel({
 		setIsHydrated(true);
 	}, []);
 	
-	// Check AI API status when AI magnitudes are enabled
-	useEffect(() => {
-		if (useAIMagnitudes) {
-			const checkApiStatus = async () => {
-				try {
-					const status = await getCircuitBreakerStatus();
-					setAiApiStatus(status);
-				} catch (error) {
-					console.error('Error checking API status:', error);
-					setAiApiStatus({ isOpen: true, failures: 1 });
-				}
-			};
-			
-			// Check immediately
-			checkApiStatus();
-			
-			// Check every 30 seconds
-			const interval = setInterval(checkApiStatus, 30000);
-			return () => clearInterval(interval);
-		}
-	}, [useAIMagnitudes]);
-	
 	// Crash data state
 	const { data, loading, error, pagination, loadMore, refresh, yearFilter, setYearFilter } = crashDataHook;
 	const [currentYear, setCurrentYear] = useState('2024'); // Default to prevent hydration mismatch
@@ -266,29 +239,6 @@ export default function UnifiedControlPanel({
 									<input type="checkbox" checked={gradientRoutes} onChange={(e) => onToggleGradientRoutes(e.target.checked)} />
 								</div>
 
-								<div className="mc-row">
-									<label className="mc-label">
-										AI Magnitudes 🤖
-										<span style={{
-											fontSize: 8,
-											padding: '2px 6px',
-											borderRadius: 4,
-											marginLeft: 8,
-											backgroundColor: aiApiStatus.isOpen ? '#d4edda' : '#f8d7da',
-											color: aiApiStatus.isOpen ? '#155724' : '#721c24'
-										}}>
-											{aiApiStatus.isOpen ? 'Available' : `Unavailable (${aiApiStatus.failures} failures)`}
-										</span>
-									</label>
-									<input type="checkbox" checked={useAIMagnitudes} onChange={(e) => onToggleAIMagnitudes(e.target.checked)} />
-								</div>
-								
-								{useAIMagnitudes && (
-									<div style={{ fontSize: 10, color: 'var(--text-secondary)', marginTop: -4, marginBottom: 8, lineHeight: 1.3 }}>
-										Uses AI to predict crash severity. Falls back to traditional calculation if API unavailable.
-									</div>
-								)}
-
 								<div style={{ marginBottom: 6 }}>
 									<label style={{ display: 'block', fontSize: 12 }}>Radius: {heatRadius}</label>
 									<input className="mc-range" type="range" min={5} max={100} value={heatRadius} onChange={(e) => onChangeRadius(Number(e.target.value))} style={{ width: '100%' }} />

web/src/app/components/mapUtils.ts

@@ -1,42 +0,0 @@
-export type PointFeature = GeoJSON.Feature<GeoJSON.Point, { mag: number }>;
-
-export const haversine = (a: [number, number], b: [number, number]) => {
-	const toRad = (v: number) => v * Math.PI / 180;
-	const R = 6371000; // meters
-	const dLat = toRad(b[1] - a[1]);
-	const dLon = toRad(b[0] - a[0]);
-	const lat1 = toRad(a[1]);
-	const lat2 = toRad(b[1]);
-	const sinDLat = Math.sin(dLat/2);
-	const sinDLon = Math.sin(dLon/2);
-	const aH = sinDLat*sinDLat + sinDLon*sinDLon * Math.cos(lat1)*Math.cos(lat2);
-	const c = 2 * Math.atan2(Math.sqrt(aH), Math.sqrt(1-aH));
-	return R * c;
-};
-
-export const generateDCPoints = (count = 500) => {
-	const center = { lon: -77.0369, lat: 38.9072 };
-	const features: PointFeature[] = [];
-
-	const randNormal = () => {
-		let u = 0, v = 0;
-		while (u === 0) u = Math.random();
-		while (v === 0) v = Math.random();
-		return Math.sqrt(-2.0 * Math.log(u)) * Math.cos(2.0 * Math.PI * v);
-	};
-
-	for (let i = 0; i < count; i++) {
-		const radius = Math.abs(randNormal()) * 0.02;
-		const angle = Math.random() * Math.PI * 2;
-		const lon = center.lon + Math.cos(angle) * radius;
-		const lat = center.lat + Math.sin(angle) * radius;
-		const mag = Math.round(Math.max(1, Math.abs(randNormal()) * 6));
-		features.push({
-			type: 'Feature',
-			geometry: { type: 'Point', coordinates: [lon, lat] },
-			properties: { mag }
-		});
-	}
-
-	return { type: 'FeatureCollection', features } as GeoJSON.FeatureCollection<GeoJSON.Geometry>;
-};

web/src/app/lib/mapUtils.ts

@@ -1,367 +0,0 @@
-import { CrashData } from '../api/crashes/route';
-import { getCachedCrashMagnitude, CrashMagnitudePrediction } from '../../lib/crashMagnitudeApi';
-
-export type PointFeature = GeoJSON.Feature<GeoJSON.Point, { mag: number; crashData: CrashData; aiPredicted?: boolean }>;
-
-export const haversine = (a: [number, number], b: [number, number]) => {
-    const toRad = (v: number) => v * Math.PI / 180;
-    const R = 6371000; // meters
-    const dLat = toRad(b[1] - a[1]);
-    const dLon = toRad(b[0] - a[0]);
-    const lat1 = toRad(a[1]);
-    const lat2 = toRad(b[1]);
-    const sinDLat = Math.sin(dLat/2);
-    const sinDLon = Math.sin(dLon/2);
-    const aH = sinDLat*sinDLat + sinDLon*sinDLon * Math.cos(lat1)*Math.cos(lat2);
-    const c = 2 * Math.atan2(Math.sqrt(aH), Math.sqrt(1-aH));
-    return R * c;
-};
-
-export const convertCrashDataToGeoJSON = (crashes: CrashData[]): GeoJSON.FeatureCollection => {
-    console.log('Converting crash data to GeoJSON:', crashes.length, 'crashes');
-    console.log('Sample crash data:', crashes[0]);
-    
-    const features: PointFeature[] = crashes.map((crash) => {
-        // Calculate fallback severity score based on fatalities and major injuries
-        const fallbackSeverityScore = Math.max(1, 
-            (crash.fatalDriver + crash.fatalPedestrian + crash.fatalBicyclist) * 3 + 
-            (crash.majorInjuriesDriver + crash.majorInjuriesPedestrian + crash.majorInjuriesBicyclist) * 2 +
-            (crash.totalVehicles + crash.totalPedestrians + crash.totalBicycles)
-        );
-
-        return {
-            type: 'Feature',
-            geometry: {
-                type: 'Point',
-                coordinates: [crash.longitude, crash.latitude]
-            },
-            properties: {
-                mag: Math.min(6, fallbackSeverityScore), // Cap at 6 for consistent visualization
-                crashData: crash,
-                aiPredicted: false // Will be updated when AI prediction is available
-            }
-        };
-    });
-
-    const geoJSON = {
-        type: 'FeatureCollection' as const,
-        features
-    };
-    
-    console.log('Generated GeoJSON with', features.length, 'features');
-    console.log('Sample feature:', features[0]);
-    
-    return geoJSON;
-};
-
-/**
- * Enhanced version that fetches AI predictions for crash magnitudes
- */
-export const convertCrashDataToGeoJSONWithAI = async (crashes: CrashData[]): Promise<GeoJSON.FeatureCollection> => {
-    console.log('🤖 Converting crash data to GeoJSON with AI predictions:', crashes.length, 'crashes');
-    
-    // Start with the basic conversion
-    const baseGeoJSON = convertCrashDataToGeoJSON(crashes);
-    
-    // Limit concurrent API calls to avoid overwhelming the API
-    const BATCH_SIZE = 10;
-    const enhancedFeatures = [...baseGeoJSON.features];
-    let successfulPredictions = 0;
-    
-    for (let i = 0; i < crashes.length; i += BATCH_SIZE) {
-        const batch = crashes.slice(i, i + BATCH_SIZE);
-        const batchPromises = batch.map(async (crash, batchIndex) => {
-            const featureIndex = i + batchIndex;
-            
-            try {
-                // Get AI prediction for this crash location
-                const prediction = await getCachedCrashMagnitude(crash.latitude, crash.longitude);
-                
-                if (prediction && typeof prediction.prediction === 'number') {
-                    // Scale the roadcast API prediction to a reasonable range for visualization
-                    // Roadcast returns values like 47, so we'll scale them to 1-10 range
-                    let scaledMagnitude = prediction.prediction;
-                    
-                    // If the value seems to be in the roadcast range (typically 0-100), scale it down
-                    if (prediction.prediction > 20) {
-                        scaledMagnitude = Math.max(1, Math.min(10, Math.round(prediction.prediction / 10)));
-                    } else {
-                        scaledMagnitude = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
-                    }
-                    
-                    console.log(`🎯 Scaled magnitude from ${prediction.prediction} to ${scaledMagnitude}`);
-                    
-                    enhancedFeatures[featureIndex] = {
-                        ...enhancedFeatures[featureIndex],
-                        properties: {
-                            ...enhancedFeatures[featureIndex].properties,
-                            mag: scaledMagnitude,
-                            aiPredicted: true
-                        }
-                    };
-                    
-                    return true; // Success
-                }
-            } catch (error) {
-                console.warn(`⚠️ Failed to get AI prediction for crash ${featureIndex}:`, error);
-            }
-            
-            return false; // Failed
-        });
-        
-        const results = await Promise.allSettled(batchPromises);
-        successfulPredictions += results.filter(r => r.status === 'fulfilled' && r.value === true).length;
-        
-        // Small delay between batches to be nice to the API
-        if (i + BATCH_SIZE < crashes.length) {
-            await new Promise(resolve => setTimeout(resolve, 100));
-        }
-    }
-    
-    const enhancedGeoJSON = {
-        type: 'FeatureCollection' as const,
-        features: enhancedFeatures as PointFeature[]
-    };
-    
-    console.log(`✅ Enhanced GeoJSON with ${successfulPredictions}/${crashes.length} AI predictions`);
-    
-    return enhancedGeoJSON;
-};
-
-export const generateDCPoints = (count = 500) => {
-    const center = { lon: -77.0369, lat: 38.9072 };
-    const features: PointFeature[] = [];
-
-    const randNormal = () => {
-        let u = 0, v = 0;
-        while (u === 0) u = Math.random();
-        while (v === 0) v = Math.random();
-        return Math.sqrt(-2.0 * Math.log(u)) * Math.cos(2.0 * Math.PI * v);
-    };
-
-    for (let i = 0; i < count; i++) {
-        const radius = Math.abs(randNormal()) * 0.02;
-        const angle = Math.random() * Math.PI * 2;
-        const lon = center.lon + Math.cos(angle) * radius;
-        const lat = center.lat + Math.sin(angle) * radius;
-        const mag = Math.round(Math.max(1, Math.abs(randNormal()) * 6));
-        
-        // Create synthetic crash data for backward compatibility
-        const syntheticCrash: CrashData = {
-            id: `synthetic-${i}`,
-            latitude: lat,
-            longitude: lon,
-            reportDate: new Date().toISOString(),
-            address: `Synthetic Location ${i}`,
-            ward: 'Ward 1',
-            totalVehicles: Math.floor(Math.random() * 3) + 1,
-            totalPedestrians: Math.floor(Math.random() * 2),
-            totalBicycles: Math.floor(Math.random() * 2),
-            fatalDriver: 0,
-            fatalPedestrian: 0,
-            fatalBicyclist: 0,
-            majorInjuriesDriver: Math.floor(Math.random() * 2),
-            majorInjuriesPedestrian: 0,
-            majorInjuriesBicyclist: 0,
-            speedingInvolved: Math.floor(Math.random() * 2),
-        };
-        
-        features.push({ 
-            type: 'Feature', 
-            geometry: { type: 'Point', coordinates: [lon, lat] }, 
-            properties: { mag, crashData: syntheticCrash, aiPredicted: false } 
-        });
-    }
-
-    return { type: 'FeatureCollection', features } as GeoJSON.FeatureCollection<GeoJSON.Geometry>;
-};
-
-/**
- * Enhanced version of generateDCPoints that uses AI predictions
- */
-export const generateDCPointsWithAI = async (count = 500) => {
-    const center = { lon: -77.0369, lat: 38.9072 };
-    const features: PointFeature[] = [];
-
-    const randNormal = () => {
-        let u = 0, v = 0;
-        while (u === 0) u = Math.random();
-        while (v === 0) v = Math.random();
-        return Math.sqrt(-2.0 * Math.log(u)) * Math.cos(2.0 * Math.PI * v);
-    };
-
-    // Generate locations first
-    const locations = [];
-    for (let i = 0; i < count; i++) {
-        const radius = Math.abs(randNormal()) * 0.02;
-        const angle = Math.random() * Math.PI * 2;
-        const lon = center.lon + Math.cos(angle) * radius;
-        const lat = center.lat + Math.sin(angle) * radius;
-        locations.push({ lon, lat, index: i });
-    }
-
-    // Get AI predictions in batches to avoid overwhelming the API
-    console.log(`🤖 Getting AI predictions for ${count} synthetic points...`);
-    const BATCH_SIZE = 20;
-    const predictions: (any | null)[] = new Array(count).fill(null);
-    let successfulPredictions = 0;
-
-    for (let i = 0; i < locations.length; i += BATCH_SIZE) {
-        const batch = locations.slice(i, i + BATCH_SIZE);
-        const batchPromises = batch.map(async (location) => {
-            try {
-                const prediction = await getCachedCrashMagnitude(location.lat, location.lon);
-                return prediction;
-            } catch (error) {
-                console.warn(`⚠️ Failed to get AI prediction for synthetic point ${location.index}:`, error);
-                return null;
-            }
-        });
-
-        const batchResults = await Promise.allSettled(batchPromises);
-        batchResults.forEach((result, batchIndex) => {
-            const globalIndex = i + batchIndex;
-            if (result.status === 'fulfilled') {
-                predictions[globalIndex] = result.value;
-                if (result.value) successfulPredictions++;
-            }
-        });
-
-        // Small delay between batches
-        if (i + BATCH_SIZE < locations.length) {
-            await new Promise(resolve => setTimeout(resolve, 50));
-        }
-    }
-
-    // Create features with AI predictions or fallback magnitudes
-    for (let i = 0; i < count; i++) {
-        const location = locations[i];
-        const prediction = predictions[i];
-        
-        // Use AI prediction if available, otherwise use random magnitude
-        let mag: number;
-        let aiPredicted = false;
-        
-        if (prediction && typeof prediction.prediction === 'number') {
-            // Scale the roadcast API prediction to a reasonable range for visualization
-            if (prediction.prediction > 20) {
-                mag = Math.max(1, Math.min(10, Math.round(prediction.prediction / 10)));
-            } else {
-                mag = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
-            }
-            console.log(`🎯 Synthetic point scaled magnitude from ${prediction.prediction} to ${mag}`);
-            aiPredicted = true;
-        } else {
-            mag = Math.round(Math.max(1, Math.abs(randNormal()) * 6));
-        }
-        
-        // Create synthetic crash data for backward compatibility
-        const syntheticCrash: CrashData = {
-            id: `synthetic-${i}`,
-            latitude: location.lat,
-            longitude: location.lon,
-            reportDate: new Date().toISOString(),
-            address: `Synthetic Location ${i}`,
-            ward: 'Ward 1',
-            totalVehicles: Math.floor(Math.random() * 3) + 1,
-            totalPedestrians: Math.floor(Math.random() * 2),
-            totalBicycles: Math.floor(Math.random() * 2),
-            fatalDriver: 0,
-            fatalPedestrian: 0,
-            fatalBicyclist: 0,
-            majorInjuriesDriver: Math.floor(Math.random() * 2),
-            majorInjuriesPedestrian: 0,
-            majorInjuriesBicyclist: 0,
-            speedingInvolved: Math.floor(Math.random() * 2),
-        };
-        
-        features.push({ 
-            type: 'Feature', 
-            geometry: { type: 'Point', coordinates: [location.lon, location.lat] }, 
-            properties: { mag, crashData: syntheticCrash, aiPredicted } 
-        });
-    }
-
-    console.log(`✅ Generated ${count} synthetic points with ${successfulPredictions} AI predictions`);
-
-    return { type: 'FeatureCollection', features } as GeoJSON.FeatureCollection<GeoJSON.Geometry>;
-};
-
-// Calculate crash density along a route path
-export const calculateRouteCrashDensity = (
-    routeCoordinates: [number, number][],
-    crashData: CrashData[],
-    searchRadiusMeters: number = 100
-): number[] => {
-    if (!routeCoordinates || routeCoordinates.length === 0) return [];
-    
-    const densities: number[] = [];
-    
-    for (let i = 0; i < routeCoordinates.length; i++) {
-        const currentPoint = routeCoordinates[i];
-        let crashCount = 0;
-        let severityScore = 0;
-        
-        // Count crashes within search radius of current point
-        for (const crash of crashData) {
-            const crashPoint: [number, number] = [crash.longitude, crash.latitude];
-            const distance = haversine(currentPoint, crashPoint);
-            
-            if (distance <= searchRadiusMeters) {
-                crashCount++;
-                // Weight by severity
-                const severity = Math.max(1, 
-                    (crash.fatalDriver + crash.fatalPedestrian + crash.fatalBicyclist) * 5 +
-                    (crash.majorInjuriesDriver + crash.majorInjuriesPedestrian + crash.majorInjuriesBicyclist) * 3 +
-                    (crash.totalVehicles + crash.totalPedestrians + crash.totalBicycles)
-                );
-                severityScore += severity;
-            }
-        }
-        
-        // Normalize density score (0-1 range)
-        const density = Math.min(1, severityScore / 20); // Adjust divisor based on data
-        densities.push(density);
-    }
-    
-    return densities;
-};
-
-// Create gradient stops based on crash densities along route
-export const createRouteGradientStops = (densities: number[]): any[] => {
-    if (!densities || densities.length === 0) {
-        // Default gradient: green to red
-        return [
-            'interpolate',
-            ['linear'],
-            ['line-progress'],
-            0, 'green',
-            1, 'red'
-        ];
-    }
-    
-    const stops: any[] = ['interpolate', ['linear'], ['line-progress']];
-    
-    for (let i = 0; i < densities.length; i++) {
-        const progress = i / (densities.length - 1);
-        const density = densities[i];
-        
-        // Color based on crash density: green (safe) to red (dangerous)
-        let color: string;
-        if (density < 0.2) {
-            color = '#22c55e'; // green
-        } else if (density < 0.4) {
-            color = '#eab308'; // yellow
-        } else if (density < 0.6) {
-            color = '#f97316'; // orange
-        } else if (density < 0.8) {
-            color = '#dc2626'; // red
-        } else {
-            color = '#7f1d1d'; // dark red
-        }
-        
-        stops.push(progress, color);
-    }
-    
-    return stops;
-};

web/src/app/page.tsx

@@ -18,7 +18,6 @@ export default function Home() {
 	const [heatRadius, setHeatRadius] = useState(16);
 	const [heatIntensity, setHeatIntensity] = useState(1);
 	const [gradientRoutes, setGradientRoutes] = useState(true);
-	const [useAIMagnitudes, setUseAIMagnitudes] = useState(true); // Default to true since roadcast API is reliable
 
 	const [popup, setPopup] = useState<PopupData>(null);
 	const [popupVisible, setPopupVisible] = useState(false);
@@ -67,8 +66,6 @@ export default function Home() {
 					onChangeIntensity={(v) => setHeatIntensity(v)}
 					gradientRoutes={gradientRoutes}
 					onToggleGradientRoutes={(v) => setGradientRoutes(v)}
-					useAIMagnitudes={useAIMagnitudes}
-					onToggleAIMagnitudes={(v) => setUseAIMagnitudes(v)}
 					crashDataHook={crashDataHook}
 				/>
 
@@ -82,7 +79,6 @@ export default function Home() {
 					crashData={crashDataHook.data}
 					crashDataHook={crashDataHook}
 					isMapPickingMode={isMapPickingMode}
-					useAIMagnitudes={useAIMagnitudes}
 					onMapReady={(m) => { mapRef.current = m; }}
 					onPopupCreate={(p) => { setPopupVisible(false); setPopup(p); requestAnimationFrame(() => setPopupVisible(true)); }}
 				/>

web/src/lib/crashMagnitudeApi.ts

@@ -1,255 +0,0 @@
-/**
- * API service for crash magnitude prediction using roadcast model
- */
-
-export interface CrashMagnitudePrediction {
-  prediction: number;
-  confidence?: number;
-}
-
-export interface CrashMagnitudeRequest {
-  source: {
-    lat: number;
-    lon: number;
-  };
-  destination: {
-    lat: number;
-    lon: number;
-  };
-}
-
-export interface CrashMagnitudeResponse {
-  prediction: CrashMagnitudePrediction;
-  called_with: string;
-  diagnostics?: {
-    input_dim: number;
-  };
-  index?: number;
-}
-
-/**
- * Get crash magnitude prediction from roadcast API
- * Simplified version that always tries to get the prediction
- */
-export async function getCrashMagnitudePrediction(
-  sourceLat: number,
-  sourceLon: number,
-  destLat: number,
-  destLon: number
-): Promise<CrashMagnitudePrediction | null> {
-
-  try {
-    const requestBody: CrashMagnitudeRequest = {
-      source: {
-        lat: sourceLat,
-        lon: sourceLon
-      },
-      destination: {
-        lat: destLat,
-        lon: destLon
-      }
-    };
-
-    console.log('<27> Requesting crash magnitude from roadcast API:', requestBody);
-
-    // Create fetch options with timeout
-    const fetchOptions: RequestInit = {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        'Accept': 'application/json',
-      },
-      body: JSON.stringify(requestBody),
-    };
-
-    // Add timeout if AbortSignal.timeout is supported
-    try {
-      if (typeof AbortSignal !== 'undefined' && 'timeout' in AbortSignal) {
-        fetchOptions.signal = AbortSignal.timeout(10000); // 10 second timeout
-      }
-    } catch (e) {
-      // AbortSignal.timeout not supported, continue without timeout
-      console.log('⚠️ AbortSignal.timeout not supported, continuing without timeout');
-    }
-
-    const response = await fetch('http://localhost:5000/predict', fetchOptions);
-
-    if (!response.ok) {
-      console.error('❌ Roadcast API error:', response.status, response.statusText);
-      return null;
-    }
-
-    const data: CrashMagnitudeResponse = await response.json();
-    console.log('✅ Roadcast magnitude prediction received:', data);
-    
-    // Handle roadcast API response format
-    // The roadcast API returns the magnitude in the 'index' field
-    if (data.index !== undefined) {
-      console.log('🎯 Using roadcast index as crash magnitude:', data.index);
-      return { 
-        prediction: data.index, 
-        confidence: 0.95 // High confidence for roadcast model
-      };
-    } else if (data.prediction && typeof data.prediction === 'object' && data.prediction.prediction !== undefined) {
-      // Fallback: Response format: { prediction: { prediction: number } }
-      return data.prediction;
-    } else if (typeof data.prediction === 'number') {
-      // Fallback: Response format: { prediction: number }
-      return { prediction: data.prediction };
-    }
-
-    console.warn('⚠️ No usable magnitude data in roadcast API response:', data);
-    return null;
-
-  } catch (error) {
-    
-    if (error instanceof Error) {
-      if (error.name === 'AbortError') {
-        console.warn('⏰ Crash magnitude API request timed out');
-      } else if (error.message.includes('fetch')) {
-        console.warn('🌐 Network error accessing crash magnitude API:', error.message);
-      } else {
-        console.warn('❌ Error fetching crash magnitude prediction:', error.message);
-      }
-    } else {
-      console.warn('❌ Unknown error fetching crash magnitude prediction:', error);
-    }
-    return null;
-  }
-}
-
-/**
- * Get crash magnitude for a single point (using same point for source and destination)
- */
-export async function getPointCrashMagnitude(
-  lat: number,
-  lon: number
-): Promise<CrashMagnitudePrediction | null> {
-  return getCrashMagnitudePrediction(lat, lon, lat, lon);
-}
-
-/**
- * Batch get crash magnitude predictions for multiple locations
- */
-export async function getBatchCrashMagnitudes(
-  locations: Array<{ lat: number; lon: number; id?: string }>
-): Promise<Array<{ prediction: CrashMagnitudePrediction | null; id?: string }>> {
-  const results = await Promise.allSettled(
-    locations.map(async (location) => {
-      const prediction = await getPointCrashMagnitude(location.lat, location.lon);
-      return { prediction, id: location.id };
-    })
-  );
-
-  return results.map((result, index) => {
-    if (result.status === 'fulfilled') {
-      return result.value;
-    } else {
-      console.error(`❌ Failed to get magnitude for location ${index}:`, result.reason);
-      return { prediction: null, id: locations[index].id };
-    }
-  });
-}
-
-/**
- * Cache for magnitude predictions to avoid repeated API calls
- */
-const magnitudeCache = new Map<string, { prediction: CrashMagnitudePrediction; timestamp: number }>();
-const CACHE_DURATION = 5 * 60 * 1000; // 5 minutes
-
-/**
- * Status tracking for roadcast API (simplified - always available)
- */
-
-function isCircuitBreakerOpen(): boolean {
-  // Roadcast API is local and reliable, always return false
-  return false;
-}
-
-function recordCircuitBreakerFailure(): void {
-  // Not needed for local roadcast API, but kept for compatibility
-}
-
-function recordCircuitBreakerSuccess(): void {
-  // Not needed for local roadcast API, but kept for compatibility
-}
-
-function getCacheKey(lat: number, lon: number): string {
-  return `${lat.toFixed(6)},${lon.toFixed(6)}`;
-}
-
-/**
- * Get cached crash magnitude or fetch if not available/expired
- */
-export async function getCachedCrashMagnitude(
-  lat: number,
-  lon: number
-): Promise<CrashMagnitudePrediction | null> {
-  const cacheKey = getCacheKey(lat, lon);
-  const cached = magnitudeCache.get(cacheKey);
-  
-  if (cached && Date.now() - cached.timestamp < CACHE_DURATION) {
-    console.log('📦 Using cached magnitude prediction for:', cacheKey);
-    return cached.prediction;
-  }
-
-  const prediction = await getPointCrashMagnitude(lat, lon);
-  
-  if (prediction) {
-    magnitudeCache.set(cacheKey, {
-      prediction,
-      timestamp: Date.now()
-    });
-  }
-
-  return prediction;
-}
-
-/**
- * Get current status of the roadcast API by testing connection
- */
-export async function getCircuitBreakerStatus(): Promise<{ isOpen: boolean; failures: number; resetTime?: number }> {
-  try {
-    // Test the roadcast API with a simple request
-    const controller = new AbortController();
-    const timeoutId = setTimeout(() => controller.abort(), 3000); // 3 second timeout
-    
-    const response = await fetch('http://localhost:5000/predict', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-      },
-      body: JSON.stringify({
-        source: { lat: 38.9, lon: -77.0 },
-        destination: { lat: 38.91, lon: -77.01 }
-      }),
-      signal: controller.signal
-    });
-    
-    clearTimeout(timeoutId);
-    
-    if (response.ok) {
-      const data = await response.json();
-      console.log('🟢 Roadcast API status check successful:', data.index);
-      return {
-        isOpen: false,  // API is available
-        failures: 0,
-        resetTime: undefined
-      };
-    } else {
-      console.log('🔴 Roadcast API status check failed:', response.status);
-      return {
-        isOpen: true,   // API returned error
-        failures: 1,
-        resetTime: undefined
-      };
-    }
-  } catch (error) {
-    console.log('🔌 Roadcast API unavailable:', error);
-    return {
-      isOpen: true,   // API is unavailable
-      failures: 1,
-      resetTime: undefined
-    };
-  }
-}

web/src/lib/flaskApi.ts

@@ -1,4 +1,4 @@
-const FLASK_API_BASE = 'http://127.0.0.1:5001';
+const FLASK_API_BASE = 'https://llm.sirblob.co';
 
 export interface WeatherData {
   temperature: number;
@@ -22,6 +22,33 @@ export interface CrashAnalysisData {
   safetyAnalysis?: string;
 }
 
+export interface SafeRouteData {
+  success: boolean;
+  start_coordinates: { lat: number; lon: number };
+  end_coordinates: { lat: number; lon: number };
+  recommended_route: {
+    coordinates: [number, number][];
+    distance_km: number;
+    duration_min: number;
+    geometry?: any; // GeoJSON for Mapbox
+    safety_score: number;
+    crashes_nearby: number;
+    max_danger_score: number;
+  };
+  safety_analysis: string;
+  weather_summary?: string;
+  route_comparison?: any;
+  alternative_routes: Array<{
+    route_id: string;
+    coordinates: [number, number][];
+    distance_km: number;
+    duration_min: number;
+    geometry?: any;
+    safety_score: number;
+    crashes_nearby: number;
+  }>;
+}
+
 export const fetchWeatherData = async (lat: number, lng: number): Promise<WeatherData> => {
   const response = await fetch(`${FLASK_API_BASE}/api/weather?lat=${lat}&lon=${lng}`);
   
@@ -50,6 +77,38 @@ export const fetchCrashAnalysis = async (lat: number, lng: number): Promise<Cras
   return transformCrashAnalysis(data);
 };
 
+export const fetchSafeRoute = async (
+  startLat: number,
+  startLon: number,
+  endLat: number,
+  endLon: number
+): Promise<SafeRouteData> => {
+  const response = await fetch(`${FLASK_API_BASE}/api/find-safe-route`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+    },
+    body: JSON.stringify({
+      start_lat: startLat,
+      start_lon: startLon,
+      end_lat: endLat,
+      end_lon: endLon,
+    }),
+  });
+
+  if (!response.ok) {
+    throw new Error('Failed to fetch safe route');
+  }
+
+  const data = await response.json();
+  
+  if (!data.success) {
+    throw new Error(data.error || 'Unknown error occurred');
+  }
+
+  return data;
+};
+
 // Transform Flask weather API response to our WeatherData interface
 const transformWeatherData = (apiResponse: any): WeatherData => {
   // Extract summary if available
@@ -86,7 +145,7 @@ const transformWeatherData = (apiResponse: any): WeatherData => {
 const transformCrashAnalysis = (apiResponse: any): CrashAnalysisData => {
   const data = apiResponse;
   
-  // Extract risk level from safety analysis text
+  // Extract risk level from safety analysis text with multiple fallback strategies
   let riskLevel = 'unknown';
   let recommendations: string[] = [];
   
@@ -94,10 +153,11 @@ const transformCrashAnalysis = (apiResponse: any): CrashAnalysisData => {
     const safetyText = data.safety_analysis;
     const safetyTextLower = safetyText.toLowerCase();
     
-    // Look for danger level assessment (now without markdown formatting)
+    // Strategy 1: Look for explicit danger level assessment
     const dangerLevelMatch = safetyText.match(/danger level assessment[:\s]*([^.\n]+)/i);
     if (dangerLevelMatch) {
       const level = dangerLevelMatch[1].trim().toLowerCase();
+      console.log('🎯 Found danger level assessment:', level);
       if (level.includes('very high') || level.includes('extreme')) {
         riskLevel = 'high';
       } else if (level.includes('high')) {
@@ -107,21 +167,48 @@ const transformCrashAnalysis = (apiResponse: any): CrashAnalysisData => {
       } else if (level.includes('low')) {
         riskLevel = 'low';
       }
-    } else {
+    }
-      // Fallback to searching for risk indicators in the text
+    
-      if (safetyTextLower.includes('very high') || safetyTextLower.includes('extremely dangerous')) {
+    // Strategy 2: Look for risk level patterns if first strategy failed
-        riskLevel = 'high';
+    if (riskLevel === 'unknown') {
-      } else if (safetyTextLower.includes('high risk') || safetyTextLower.includes('very dangerous')) {
+      const riskPatterns = [
-        riskLevel = 'high';
+        { keywords: ['very high risk', 'extremely dangerous', 'very dangerous', 'extreme danger'], level: 'high' },
-      } else if (safetyTextLower.includes('moderate risk') || safetyTextLower.includes('medium risk')) {
+        { keywords: ['high risk', 'high danger', 'dangerous area', 'significant risk'], level: 'high' },
-        riskLevel = 'medium';
+        { keywords: ['moderate risk', 'medium risk', 'moderate danger', 'moderately dangerous'], level: 'medium' },
-      } else if (safetyTextLower.includes('low risk') || safetyTextLower.includes('relatively safe')) {
+        { keywords: ['low risk', 'relatively safe', 'low danger', 'minimal risk'], level: 'low' }
-        riskLevel = 'low';
+      ];
+      
+      for (const pattern of riskPatterns) {
+        if (pattern.keywords.some(keyword => safetyTextLower.includes(keyword))) {
+          riskLevel = pattern.level;
+          console.log('🎯 Found risk pattern:', pattern.keywords[0], '→', pattern.level);
+          break;
+        }
       }
     }
     
-    // Extract recommendations from safety analysis (now without markdown)
+    // Strategy 3: Fallback to crash data severity if text parsing fails
-    const recommendationsMatch = safetyText.match(/specific recommendations[^:]*:([\s\S]*?)(?=\n\n|\d+\.|$)/i);
+    if (riskLevel === 'unknown' && data.crash_summary) {
+      const summary = data.crash_summary;
+      const totalCrashes = summary.total_crashes || 0;
+      const totalCasualties = summary.total_casualties || 0;
+      
+      if (totalCasualties > 10 || totalCrashes > 20) {
+        riskLevel = 'high';
+        console.log('🎯 Fallback: High risk based on casualties/crashes', { totalCasualties, totalCrashes });
+      } else if (totalCasualties > 3 || totalCrashes > 8) {
+        riskLevel = 'medium';
+        console.log('🎯 Fallback: Medium risk based on casualties/crashes', { totalCasualties, totalCrashes });
+      } else if (totalCrashes > 0) {
+        riskLevel = 'low';
+        console.log('🎯 Fallback: Low risk based on crashes', { totalCrashes });
+      }
+    }
+    
+    console.log('📊 Final risk level determination:', riskLevel);
+    
+    // Extract recommendations from safety analysis (more flexible approach)
+    const recommendationsMatch = safetyText.match(/(?:specific recommendations|recommendations)[^:]*:([\s\S]*?)(?=\n\n|\d+\.|$)/i);
     if (recommendationsMatch) {
       const recommendationsText = recommendationsMatch[1];
       // Split by lines and filter for meaningful recommendations