Giter Site home page Giter Site logo

weatherforcasting's Introduction

Weather Forecasting Web App

Project Overview

Welcome to the Weather Forecasting Web App project! This application empowers users to access real-time weather information and temperature details for any city. Leveraging the OpenWeatherMap API, the project showcases a responsive and intuitive interface. Built with Node.js on the backend, EJS for templating, and vanilla JavaScript for the frontend, it's a simple yet effective tool for staying updated on weather conditions.

Features

  • Dynamic Data: Fetches current weather data from OpenWeatherMap API.
  • User-Friendly Interface: Displays current temperature, min/max temperature, and weather icon.
  • Responsive Design: Ensures a seamless experience across various screen sizes.

Contribution Guidelines (JWOC)

Thank you for considering contributing to our project as part of JGEC Winter of Code (JWOC)! We appreciate your enthusiasm. Follow these additional steps to make your contribution journey smoother:

  1. Create or Identify an Existing Issue:

    • Browse through existing issues or create a new one if you identify an area for improvement or a bug. Provide a brief explanation of the issue to guide potential contributors.
  2. Get Assigned to the Issue by Mentor:

    • Express your interest in working on a specific issue by commenting on it. A mentor will review your comment and assign the issue to you if it's available. This ensures clear ownership and coordination.
  3. Fork the Repository:

    • Fork the project repository to your GitHub account.
  4. Clone the Repository:

    • Clone your forked repository to your local machine using the git clone command.
  5. Make Changes:

    • Implement necessary changes or enhancements to the codebase.
  6. Create a Pull Request (PR):

    • Submit a Pull Request to the main repository, providing a clear explanation of the changes made.
  7. Communication:

    • Engage with the community and project maintainers on the designated communication channels.

Getting Started

To run the Weather Forecasting Web App locally, follow these user-friendly steps:

  1. Install Node.js:

    • Make sure you have Node.js installed on your machine.
  2. Install Dependencies:

    • Run npm install in the project root directory to install required packages.
  3. Start the Server:

    • Execute node index.js to launch the server.
  4. Access the App:

    • Open your web browser and go to http://localhost:8000 to explore the application.

Additional Information

  • The project structure is neatly organized, with distinct folders for frontend (public), views, and backend (index.js).
  • Frontend styling resides in public/home.css, while dynamic behavior is implemented in public/home.js.
  • Contributions are not only welcomed but celebrated. Refer to the contribution guidelines for a smooth process.
  • If you have questions or need clarifications, don't hesitate to reach out to the project maintainers.

Enjoy your journey of contributing to the Weather Forecasting Web App as part of JGEC Winter of Code!

Contribute for JWoC-2k24

SAVE_20240113_190827

weatherforcasting's People

Contributors

aniket-1206 avatar animesh606 avatar divyanshgarg-04 avatar jenis07 avatar sohanrc avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.