Exemple

get historical place near us with google maps api

// Example using JavaScript and the Google Places API

// Step 1: Make a request to Google Places API
const apiKey = 'YOUR_GOOGLE_MAPS_API_KEY';
const location = 'latitude,longitude'; // Replace with user's current location
const radius = 5000; // Set the search radius in meters

const apiUrl = `https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=${location}&radius=${radius}&types=museum&key=${apiKey}`;

// Make an AJAX request or use a library like Axios or Fetch
fetch(apiUrl)
  .then(response => response.json())
  .then(data => {
    // Step 2: Parse and filter the response
    const historicalPlaces = data.results.filter(place => {
      // Customize your filtering logic based on the Place API response
      return place.types.includes('museum') || place.types.includes('historical_site');
    });

    // Step 3: Display results on the map
    // Integrate the historicalPlaces data with your map using Google Maps API
  })
  .catch(error => console.error('Error fetching data:', error));

route calculation to prioritize cycling paths

// Example using JavaScript and the Google Maps Directions API for cycling

// Step 1: Obtain API key from Google Cloud Console
const apiKey = 'YOUR_GOOGLE_MAPS_API_KEY';

// Step 2: Define the origin and destination coordinates
const origin = 'start_latitude,start_longitude'; // Replace with actual starting coordinates
const destination = 'end_latitude,end_longitude'; // Replace with actual destination coordinates

// Step 3: Build the API request URL with mode=bicycling
const apiUrl = `https://maps.googleapis.com/maps/api/directions/json?origin=${origin}&destination=${destination}&mode=bicycling&key=${apiKey}`;

// Step 4: Make an AJAX request or use a library like Axios or Fetch
fetch(apiUrl)
  .then(response => response.json())
  .then(data => {
    // Step 5: Parse and extract the cycling route information
    const cyclingRoute = data.routes[0]; // Assuming you want the first route

    // Step 6: Display the cycling route on the map
    // Integrate the cycling route information with your map using Google Maps API
  })
  .catch(error => console.error('Error fetching data:', error));

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Cycling Route Map</title>
  <!-- Include the Google Maps JavaScript API -->
  <script src="https://maps.googleapis.com/maps/api/js?key=YOUR_GOOGLE_MAPS_API_KEY&libraries=geometry"></script>
  <style>
    #map {
      height: 400px;
      width: 100%;
    }
  </style>
</head>
<body>
  <div id="map"></div>

  <script>
    // Step 1: Define the cycling route data (replace with your data)
    const cyclingRoute = {
      overview_polyline: {
        points: "your_polyline_points_here"
      }
    };

    // Step 2: Initialize the map
    const map = new google.maps.Map(document.getElementById('map'), {
      zoom: 10,
      center: { lat: your_start_latitude, lng: your_start_longitude }, // Replace with actual starting coordinates
    });

    // Step 3: Decode the polyline and create a path
    const path = google.maps.geometry.encoding.decodePath(cyclingRoute.overview_polyline.points);

    // Step 4: Create a Polyline and set it on the map
    const routePolyline = new google.maps.Polyline({
      path: path,
      geodesic: true,
      strokeColor: '#FF0000',
      strokeOpacity: 1.0,
      strokeWeight: 2,
    });

    routePolyline.setMap(map);

    // Step 5: Fit the map to the bounds of the route
    const bounds = new google.maps.LatLngBounds();
    path.forEach(point => bounds.extend(point));
    map.fitBounds(bounds);
  </script>
</body>
</html>

// Check if geolocation is supported by the browser
if ("geolocation" in navigator) {
  // Prompt user for permission to access their location
  navigator.geolocation.getCurrentPosition(
    // Success callback function
    (position) => {
      // Get the user's latitude and longitude coordinates
      const lat = position.coords.latitude;
      const lng = position.coords.longitude;

      // Do something with the location data, e.g. display on a map
      console.log(`Latitude: ${lat}, longitude: ${lng}`);
    },
    // Error callback function
    (error) => {
      // Handle errors, e.g. user denied location sharing permissions
      console.error("Error getting user location:", error);
    }
  );
} else {
  // Geolocation is not supported by the browser
  console.error("Geolocation is not supported by this browser.");
}
  1. Firebase Realtime Database:

    • Firebase is a cloud-based platform that includes a Realtime Database.
    • It's a NoSQL database that can handle real-time data synchronization.
    • Firebase can be a good choice if you're looking for a serverless solution and quick development.
  2. Firebase Firestore:

    • Another offering from Firebase is Firestore, a NoSQL document database.
    • Firestore supports more advanced querying compared to the Realtime Database.
    • It can be a good fit if you need more complex queries and a scalable solution.
  3. MongoDB:

    • MongoDB is a popular NoSQL database that stores data in a flexible, JSON-like format.
    • It's known for its scalability and flexibility, making it suitable for various data types.
    • MongoDB can be a good choice if you have unstructured or semi-structured data.
  4. PostgreSQL:

    • PostgreSQL is a powerful open-source relational database.
    • It supports complex queries, transactions, and is known for its reliability.
    • If your data has strong relationships and requires ACID compliance, PostgreSQL could be a good fit.
  5. SQLite:

    • SQLite is a lightweight, embedded relational database that is suitable for mobile applications.
    • It's serverless and can be a good option for smaller projects with simple data storage needs.
  6. DynamoDB (Amazon Web Services):

    • DynamoDB is a fully managed NoSQL database provided by AWS.
    • It's designed for high availability and scalability.
    • DynamoDB can be a good choice if you're building your project on AWS and need a serverless, scalable database.
  7. Neo4j:

    • Neo4j is a graph database that is suitable for scenarios where relationships between data points are crucial.
    • If your project involves complex relationships between historical places or routes, a graph database might be beneficial.

If you want to create a system with voice notifications, you'll need to integrate both text-to-speech (TTS) for converting text into spoken words and push notifications to display messages. Here's a general guide on how you can implement this in a mobile app (React Native) with Firebase Cloud Messaging (FCM) for push notifications:

1. Setting up Firebase for Push Notifications:

  • Create a Firebase project: Visit the Firebase Console to create a new project.

  • Register your app: Add your Android app to the Firebase project and follow the setup instructions to download the google-services.json file.

  • Install required packages:

    npm install @react-native-firebase/app @react-native-firebase/messaging
    
  • Integrate Firebase into your React Native app:

    // In your index.js or App.js
    import { AppRegistry } from 'react-native';
    import messaging from '@react-native-firebase/messaging';
    import App from './App';
    import { name as appName } from './app.json';
    
    messaging().setBackgroundMessageHandler(async remoteMessage => {
      console.log('Message handled in the background!', remoteMessage);
    });
    
    AppRegistry.registerComponent(appName, () => App);
    

2. Sending Notifications from Your Server:

  • When you want to send a notification, you can use the Firebase Cloud Messaging (FCM) API or the Firebase Console to send a message to your app.

3. Handling Notifications in Your App:

  • Use the react-native-firebase/messaging package to handle incoming notifications in your React Native app.
import messaging from '@react-native-firebase/messaging';

// Listen for FCM messages
useEffect(() => {
  const unsubscribeOnMessage = messaging().onMessage(async remoteMessage => {
    console.log('A new FCM message arrived!', JSON.stringify(remoteMessage));
    
    // Display the notification
    displayNotification(remoteMessage.data.title, remoteMessage.data.body);
    
    // You can also trigger the voice notification here
    triggerVoiceNotification(remoteMessage.data.body);
  });

  return () => {
    unsubscribeOnMessage();
  };
}, []);

// Function to display a local notification
const displayNotification = (title, body) => {
  // Use a local notification library (e.g., react-native-push-notification)
  // to display notifications to the user
  // Example:
  // PushNotification.localNotification({
  //   title: title,
  //   message: body,
  // });
};

// Function to trigger a voice notification
const triggerVoiceNotification = (text) => {
  // Use a text-to-speech (TTS) library to convert text to voice
  // Example:
  // textToSpeechLibrary.speak(text);
};

4. Implementing Text-to-Speech (TTS):

  • Use a React Native TTS library to implement text-to-speech functionality. You can explore libraries such as react-native-tts or react-native-tts-notification.
npm install react-native-tts
  • Integrate and use the TTS library in your React Native app to convert text to speech.
import Tts from 'react-native-tts';

// Function to trigger voice notification using TTS
const triggerVoiceNotification = (text) => {
  Tts.speak(text);
};

Ensure you have the required permissions for handling notifications and TTS in your app. Adjust the code based on the libraries you choose and your specific project requirements. Additionally, make sure to check and comply with the terms of service and usage policies of the libraries and services you integrate.


principe modele agile

sprint
->RU user storie (minimum 1)
=>critère d'acceptance -> element user do
>>tache correspondante


concept de jeu qui permet de comprendre votre project