Weather data is essential for daily planning, travel, and safety. This project demonstrates API integration, real-time data display, and user location detection—making it perfect for learning cloud-based services and frontend-backend communication.
The goal is to create a weather web app that fetches real-time and future weather conditions using APIs and displays it beautifully with location-specific features like auto-detection and search.
Fetch live weather conditions including temperature, humidity, wind, and precipitation using cloud APIs.
Display short-term forecasts with day-wise conditions, weather icons, and temperature ranges.
Allow users to search cities or use geolocation to get weather updates for their current area.
Design a mobile-friendly and attractive dashboard for presenting data with icons, charts, or summaries.
The application uses cloud-based APIs like OpenWeatherMap or Weatherstack to retrieve weather data in JSON format. On the frontend, the data is parsed and shown with intuitive visuals and search functionality.
React.js, Tailwind CSS, Chart.js or ApexCharts for visualization.
Node.js or Flask backend to handle API proxying or cache responses.
Weatherstack, OpenWeatherMap, or Climacell API for reliable data.
Deploy frontend on Vercel, Netlify, or AWS S3/Amplify for cloud hosting.
Create a weather dashboard layout with search, result cards, and dynamic styling.
Register on OpenWeatherMap or Weatherstack, fetch API key, and integrate with Axios or Fetch API.
Extract useful information like temperature, description, and forecast from API responses.
Use browser geolocation and store recent city searches in local storage.
Deploy the app online and ensure it works well on mobile, tablet, and desktop.
Combine the simplicity of APIs with the power of the cloud to deliver accurate, real-time weather insights in your app.
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