🌦️ Streamlit Weather & Health Advisory

An interactive web application built with Streamlit that provides 3-day weather forecasts and generates AI-powered health recommendations for user-selected locations.

Features

• Dynamic Site Management: Users can select from a predefined list of locations (loaded from sites.json), add new sites during their session, and persistently edit the coordinates for existing sites.
• Interactive Map View: Displays the selected location on a map for easy visualization and context.
• Dual Forecast Views: Toggle between a high-level Daily Summary and a detailed 3-Hourly Forecast for the next 72 hours.
• AI-Powered Health Advice: Leverages the Google Gemini API to analyze the weather summary and generate crucial, structured health recommendations for different demographic groups (Adults, Children & Elderly, People with Morbidities).
• Data Export: Download both the raw forecast data and the generated health recommendations as CSV files for offline analysis.
• Cache Management: Includes an option to clear the cache for health recommendations to fetch fresh advice.

Technologies Used

• Frontend: Streamlit
• Data Processing: Pandas
• Weather Data: Open-Meteo API
• AI Recommendations: Google Gemini API
• Version Control: Git & GitHub

How to Run Locally

1. Clone the repository:
   git clone https://github.com/pranay-code/streamlit-weather-forecast-health-advisor.git
   cd YOUR_REPO_NAME

2. Create and activate a Conda environment:
   conda create --name weather_app python=3.9 -y
   conda activate weather_app

3. Install the required libraries:
   pip install -r requirements.txt

4. Set up your API Key:

   • Create a file named .streamlit/secrets.toml.
   • Add your Google Gemini API key to this file:
     GOOGLE_API_KEY = "YOUR_API_KEY_HERE"

5. Run the application:
   streamlit run app.py