🌦️ Real-Time Weather Predictor

A real-time weather prediction web app built with Streamlit, integrated with OpenWeatherMap API, and enriched with geolocation and air quality metrics for an interactive and user-friendly experience.

🚀 Live Demo
🌐 View Deployed App on Render

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📌 Features

• 📍 Auto Detect User Location
• 🌡️ Real-time Temperature, Humidity, Pressure, and Wind Speed
• 📆 Current Day, Date & Time
• 🌥️ Weather Forecast by Day
• 🌞 Sunrise & Sunset Timings
• 🧪 Air Quality Metrics:
  • PM2.5 (µg/m³)
  • PM10 (µg/m³)
  • AQI Score + Health Description
• 🌗 Day/Night Based Theming with Sun & Moon icons
• 📱 Responsive & Clean UI using streamlit_extras

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🛠️ Tech Stack & Libraries

• Python 3.10+
• Streamlit
• OpenWeatherMap API
• requests
• datetime
• streamlit_js_eval – for geolocation detection
• streamlit_extras.metric_cards – for modern styled metric cards

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📦 Installation

1. Clone the Repository

   git clone https:https://github.com/DevWaqarAhmad/Real-Time-Weather-Predictor
   cd Real-Time-Weather-Predictor

Create a Virtual Environment

bash Copy Edit python -m venv venv source venv/bin/activate

Install Dependencies

bash Copy Edit pip install -r requirements.txt

Create a .env file in the root directory:

env Copy Edit OPENWEATHER_API_KEY=your_api_key_here

Run the App

bash Copy Edit streamlit run app.py

🧠 How it Works Uses streamlit_js_eval to detect user’s geolocation.

Sends location to OpenWeatherMap API to fetch:

Current weather

Air pollution metrics

Applies sunrise/sunset logic to toggle Sun/Moon visuals.

Displays AQI health messages based on score ranges.

streamlit weather-app openweathermap api-integration air-quality geolocation python real-time dashboard climate Contributing Pull requests are welcome! If you find bugs or want to improve the UI/features, feel free to contribute.

License This project is licensed under the MIT License.

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