Weather-Search-iOS-app--Tomorrow.io

Created an iOS App for retrieving and displaying weather details using the Tomorrow.io API.

🔹Tech Stack

Frontend: Swift, SwiftUI, UIKit

Backend: Node.js, Express, MongoDB (Atlas), Google App Engine

Libraries & Frameworks:

• SwiftyJSON: Handling JSON data
• Alamofire: Making HTTP requests
• Toast-Swift: Displaying toast messages
• SwiftSpinner: Loading spinner
• HighCharts: Implementing charts for data visualization

🔹APIs Used

1. Tomorrow.io API - Fetches real-time and forecast weather data.
2. Google Places Autocomplete API - Provides search suggestions for cities.
3. Google Geocoding API - Converts location names into latitude/longitude.
4. MongoDB Atlas - Stores user-favorited locations in a cloud database.
5. Twitter (X) Share API - Allows users to share weather updates on X (Twitter).

🔹Features

1. User Location-Based Weather Search

• Automatically fetches weather data based on the user’s current location.
• Uses Apple’s Core Location framework to determine the location.

2. Search for Weather Details by City

• Implements a UISearchBar with autocomplete functionality.
• Fetches weather data via Tomorrow.io API based on user input.
• Displays search results in a table view.

3. Weather Details View

• Today Tab: Displays current weather data including:
  • Temperature
  • Humidity
  • Wind Speed
  • Visibility
  • Pressure
• Weekly Tab: Shows 7-day forecast with:
  • Date, sunrise/sunset times
  • Temperature trends using HighCharts area charts
• Weather Data Tab: Includes:
  • Precipitation probability, humidity, cloud cover
  • Activity gauge charts using HighCharts

4. Favorites List (MongoDB Integration)

• Allows users to save cities to a favorites list.
• Implements persistent storage using MongoDB Atlas (cloud database).
• Supports removing cities from favorites and syncing data with the backend.

5. Social Media Sharing

• Integrates Twitter (X) sharing.
• Generates a tweet containing the weather details.

6. Interactive UI

• Uses SwiftUI and UIKit for a smooth experience.
• Includes dynamic loading spinners for API calls.
• Displays error messages gracefully.

7. Backend & Database Integration

• Uses a Node.js backend deployed on Google App Engine (GAE).
• Stores user-favorite locations in MongoDB Atlas for cross-device sync.
• Communicates with the backend via asynchronous HTTP requests.

🔹View Demo

• https://github.com/user-attachments/assets/28f4bd00-2a7c-4069-b43d-db6fbd9a5540

📌 Note

The full source code for this project is not publicly available.
If you are interested in accessing the code, please feel free to request it by contacting me.