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A.I. Snow Daw Predictor

Introduction

The A.I. Snow Day Predictor is a sophisticated tool designed to forecast snow days using advanced machine learning techniques. By analyzing historical weather data, this application provides accurate predictions to help users plan ahead during snowy seasons.

Table of Contents

Prerequisites

  • Docker installed on your machine.
  • Internet access for severs.

Installation and Setup

  1. Clone the repository to your local machine.
  2. Navigate to the project directory.
  3. Run docker-compose up to build and start the application.
  4. Access the application through your web browser at http://localhost:1234/.

How to Use

  • For Users: Log in to view past predictions or submit new data for real-time forecasting.
  • For Admins: Add historical data to enhance the model and review user feedback for insights.

Features and Updates

Documentation

  • For detailed information on project setup, architecture, and usage, please refer to our Wiki Pages.

Code of Conduct

  • Our community is dedicated to providing a welcoming and inclusive experience for everyone. We expect everyone participating in the A.I. Snow Day Predictor project to abide by our Code of Conduct. This code outlines our expectations for participant behavior as well as the consequences for unacceptable behavior. We invite all those who participate in the A.I. Snow Day Predictor to help us create safe and positive experiences for everyone. For more details on our community standards, please review the Code of Conduct.

Security

  • We take the security of our project seriously. Please review our Security Policy for guidelines on reporting security vulnerabilities.

Contributing

  • Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Please refer to the CONTRIBUTING.md file for more information.

License

  • This project is licensed under the Apache License 2.0. This license allows for wide use and modification under specific terms.

Acknowledgments

  • Special thanks to Ottawa Weather Stats for providing the dataset. You can find more about them here.

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