https://github.com/harshit-3905/weather-monitoring

https://github.com/harshit-3905/weather-monitoring

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/harshit-3905/weather-monitoring
• Owner: Harshit-3905
• Created: 2024-10-19T01:18:41.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-25T02:27:01.000Z (about 2 months ago)
• Last Synced: 2024-10-25T05:16:48.140Z (about 2 months ago)
• Language: TypeScript
• Homepage: https://weather-monitoring.harshit-joshi.tech/
• Size: 74.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Weather-Monitoring

Weather-Monitoring is a full-stack application that provides real-time weather information and historical data for various cities. This project combines a frontend built with React and TypeScript, and a backend powered by Node.js with a PostgreSQL database.

## Hosted Links

- Frontend : https://weather-monitoring.harshit-joshi.tech/

- Backend : https://weather-monitoring-backend.harshit-joshi.tech/

## Features

- **Real-time Weather Data**: Get up-to-the-minute weather information for multiple cities around the world.

- **Historical Data Visualization**: View historical weather data with interactive charts and graphs.

- **User-Friendly Interface**: Easily navigate through current weather conditions with a clean and intuitive UI.

- **Temperature Trends**: Analyze temperature trends over time with customizable charts.

- **Customizable City Selection**: Select and save your favorite cities for quick access to weather data.

## Tech Stack

### Frontend

- React

- TypeScript

- Chart.js for data visualization

### Backend

- Node.js

- Express.js

- Prisma ORM

- PostgreSQL database

## Running the Application

### Steps to Run the Application

1. Clone the repository

2. Run the application using Docker Compose:

   - Ensure Docker and Docker Compose are installed on your machine

   - In the root directory of the project, run: `docker-compose up`

   - This will build and start both the frontend and backend services along with the PostgreSQL database

   - The frontend will be accessible at `http://localhost:3000`

   - The backend will be running at `http://localhost:5000`