Weatherly

Weatherly is a web application that provides weather information and in the future wildfire risk assessments. It leverages Flask, and the OpenWeather API to deliver current weather conditions, a 7-day forecast, and soon a predictive model for assessing wildfire risks based on historical weather data.

Key Features

• Current Conditions: View real-time weather data for any location.
• 7-Day Forecast: Plan ahead with a detailed forecast for the next week.
• (Planned) Wildfire Risk Assessment: Predictive model for assessing the risk of wildfires in a given area.

Technologies Used

• (Active) Flask: A lightweight Python web framework for building the backend.
• (Planned) SQLite: A simple and easy-to-use database for storing user accounts and other persistent data.
• (Active) OpenWeather API: Provides current weather data for any location.
• (Planned) Machine Learning Model: Implements a predictive model for wildfire risk assessment.

Getting Started

Screenshots

Light Mode

Dark Mode

Prerequisites

• Python installed
• Virtualenv for managing Python environments
• API Key from OpenWeatherMap

markdown Copy code

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/weatherly.git
   cd weatherly

Set up a virtual environment:

bash Copy code virtualenv venv source venv/bin/activate # On Windows, use 'venv\Scripts\activate' Install dependencies:

bash Copy code pip install -r requirements.txt Create a .env file in the project root and add your OpenWeatherMap API key:

plaintext Copy code OPENWEATHER_API_KEY=your_api_key Run the application:

bash Copy code flask run Open your browser and navigate to http://localhost:5000/ to access Weatherly.

Usage

Home Page:

• Enter a zip code in the search bar to get weather information for a specific location.
• Explore the current conditions, 7-day forecast, and wildfire risk assessment.

Dark Mode:

• Toggle between light and dark modes using the light/dark button in the header.

Community Engagement:

• Contribute to the project by providing feedback and reporting incidents.
• Engage with the community to enhance the wildfire risk assessment model.

Contributing

If you'd like to contribute to FlameForecast, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/improvement).
3. Make changes and commit (git commit -m 'Add feature/improvement').
4. Push to the branch (git push origin feature/improvement).
5. Open a pull request.

Acknowledgements

• Thanks to OpenWeatherMap for providing the weather data API.
• Special mention to contributors and community members who help improve FlameForecast.