Travel Planning with AI - Location Intelligence API

Travel Planning Capabilities

• Attraction Discovery: Find museums, landmarks, parks, and tourist sites using natural descriptions
• Restaurant Search: Discover dining options by cuisine, atmosphere, price range, or location
• Route Optimization: Calculate multi-stop routes for efficient sightseeing
• Itinerary Building: Combine locations with travel times and distances
• Context-Aware Suggestions: AI understands "family-friendly", "romantic", "adventurous" trip styles

Common Travel Planning Queries

Finding Tourist Attractions

// Discover landmarks and attractions
GET /query?
  query=famous landmarks and museums in Rome&
  lat=41.9028&
  lon=12.4964&
  radius=5000&
  rank=true&
  answer=true&
  limit=15

Restaurant Discovery

// Find dining options
GET /query?
  query=authentic Italian restaurants with outdoor seating in Trastevere&
  lat=41.8891&
  lon=12.4694&
  rank=true&
  answer=true

Activity Search

// Find things to do
GET /query?
  query=family-friendly activities and parks in San Diego&
  lat=32.7157&
  lon=-117.1611&
  rank=true

Building Complete Itineraries

Step 1: Find Attractions

// Morning: Museums
GET /query?
  query=art museums in Paris near Louvre&
  lat=48.8606&
  lon=2.3376&
  rank=true

// Results: Louvre, Musée d'Orsay, Musée de l'Orangerie...

Step 2: Add Dining

// Lunch: Find nearby restaurants
GET /query?
  query=French bistros near Musée d'Orsay&
  lat=48.8600&
  lon=2.3266&
  radius=500&
  rank=true

// Results: Le Bouillon, Café Campana, Les Antiquaires...

Step 3: Calculate Route

// Plan the walking route
GET /route?
  start_lat=48.8606&start_lon=2.3376&  // Louvre
  end_lat=48.8600&end_lon=2.3266&      // Musée d'Orsay
  mode=foot

// Returns: 1.2km, 15 minutes walking

Step 4: Calculate Multi-Stop Journey

POST /journey
{
  "waypoints": [
    {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum - morning"},
    {"lat": 48.8600, "lon": 2.3266, "purpose": "Lunch at Le Bouillon"},
    {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower - afternoon"},
    {"lat": 48.8738, "lon": 2.2950, "purpose": "Dinner in Trocadéro"}
  ],
  "constraints": {
    "transport": "walking",
    "time_budget": "6 hours"
  }
}

Travel Planning Use Cases

Real-World Travel Planning Example

User Request: "Plan a romantic day in Venice with gondola ride, lunch by canal, and sunset at a scenic viewpoint"

AI Travel Planner Workflow:

Query 1: Find gondola stations

GET /query?
  query=gondola stations in Venice Grand Canal&
  lat=45.4371&lon=12.3326&rank=true

Query 2: Find romantic canal-side restaurants

GET /query?
  query=romantic restaurants with canal views in Venice&
  lat=45.4371&lon=12.3326&rank=true&answer=true

Query 3: Find scenic viewpoints for sunset

GET /query?
  query=best viewpoints for sunset in Venice&
  lat=45.4371&lon=12.3326&rank=true

Query 4: Calculate walking route between locations

POST /journey
{
  "waypoints": [
    {"lat": 45.4371, "lon": 12.3326, "purpose": "Morning gondola ride"},
    {"lat": 45.4343, "lon": 12.3389, "purpose": "Lunch at Osteria alle Testiere"},
    {"lat": 45.4408, "lon": 12.3155, "purpose": "Sunset at Ponte dell'Accademia"}
  ],
  "constraints": {"transport": "walking"}
}

Result: Complete romantic itinerary with times, distances, and directions

Advanced Travel Queries

Cultural Experiences

GET /query?
  query=traditional markets and local cultural experiences in Bangkok&
  lat=13.7563&lon=100.5018&rank=true

Outdoor Adventures

GET /query?
  query=hiking trails and scenic viewpoints near Yosemite Valley&
  lat=37.7459&lon=-119.5960&radius=10000&rank=true

Nightlife Discovery

GET /query?
  query=rooftop bars and live music venues in Austin&
  lat=30.2672&lon=-97.7431&rank=true

Shopping Destinations

GET /query?
  query=luxury shopping districts and local boutiques in Milan&
  lat=45.4642&lon=9.1900&rank=true

Travel Planning with MCP Integration

Use Camino AI's MCP server with Claude or ChatGPT for conversational travel planning:

// MCP Configuration (Claude Desktop)
{
  "mcpServers": {
    "camino-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-http",
        "https://api.getcamino.ai/mcp?caminoApiKey=YOUR_KEY"
      ]
    }
  }
}

// User to AI: "Plan a food tour in Tokyo"
// AI uses MCP to query Camino:
{
  "name": "camino_query",
  "arguments": {
    "query": "famous food markets and ramen shops in Tokyo",
    "latitude": 35.6762,
    "longitude": 139.6503,
    "rank": true,
    "generate_answer": true
  }
}

Location Context for Travel Planning

Get comprehensive area information for trip planning:

POST /context
{
  "location": {"lat": 40.7589, "lon": -73.9851},
  "radius": 2000,
  "context": "What attractions, restaurants, and hotels are in this area? Describe the neighborhood character and tourist appeal."
}

// Returns AI-generated contextual summary of the area

Multi-Day Trip Planning

Example: 3-Day Barcelona Itinerary

Day 1: Gothic Quarter

GET /query?
  query=historic sites and tapas bars in Gothic Quarter Barcelona&
  lat=41.3825&lon=2.1769&rank=true

Day 2: Gaudí Architecture

GET /query?
  query=Gaudí buildings and modernist architecture in Barcelona&
  lat=41.4036&lon=2.1744&rank=true

Day 3: Beach and Seafood

GET /query?
  query=beaches and seafood restaurants in Barceloneta&
  lat=41.3806&lon=2.1901&rank=true

Calculate Daily Routes

// For each day, calculate optimal walking route
POST /journey
{
  "waypoints": [/* day's locations */],
  "constraints": {"transport": "walking", "time_budget": "8 hours"}
}

Travel Planning Best Practices

• Use descriptive queries: "family-friendly museums with interactive exhibits" > "museums"
• Enable AI ranking: Get results sorted by relevance to trip style/preferences
• Request answers: Use answer=true for AI-generated destination descriptions
• Calculate travel times: Always check /route or /journey for realistic itinerary timing
• Set appropriate radius: City center: 2-3km, Whole city: 10-15km, Region: 50+ km
• Combine queries: Use attractions + dining + hotels for complete area coverage

Travel Planning API Pricing