🌤️ Weather Dashboard

An interactive Weather Dashboard built with Streamlit that lets users fetch and visualize current weather data and forecasts for any city in the world.

🌟 Features

• Current Weather Info: Displays temperature, humidity, wind speed, pressure, and conditions.
• Temperature Forecast: Visualizes temperature trends and "feels like" metrics.
• Weather Conditions Pie Chart: Shows distribution of weather conditions.
• Temperature Range Chart: Illustrates max and min temperatures over time.
• User-Friendly Interface: Easy city input with clear visualizations.

🌐 Web App

🛠 Tech Stack

• Python: Backend logic
• Streamlit: Web app framework
• Requests: HTTP requests to OpenWeather API
• Pandas: Data manipulation
• Plotly: Interactive plots
• dotenv: Environment variable management

🚀 Installation and Usage

1. Clone the repository:

   git clone https://github.com/rakheshkrishna2005/weather-dashboard.git

2. Navigate to the project directory:

   cd weather-dashboard

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables: Create a .env file with your OpenWeather API key:

   OPENWEATHER_API_KEY=your_api_key_here
   

5. Run the app:

   streamlit run app.py

📚 Additional Resources

• Plotly Documentation
• Pandas Documentation
• Requests Documentation
• Streamlit Documentation
• OpenWeather API Documentation