Creating a detailed document for a project involves several sections, including an introduction, project overview, installation guide, usage instructions, and any other relevant information. Below is a sample document for your soccer prediction system project. Please adjust it according to your project's specific details.
The Soccer Prediction System is a web-based application that predicts soccer match outcomes based on historical data and machine learning algorithms. This documentation provides an overview of the project, instructions for installation, and details on how to use and contribute to the system.
The system uses Flask as the web framework and integrates machine learning models for predicting match results. It also leverages Docker for containerization, making deployment and distribution easier.
Before running the application, ensure you have the following installed:
- Python (3.8 or higher)
- Docker (if using Docker)
Clone the project repository:
git clone https://github.com/mstrmindz/soccer-prediction-system.git
cd soccer-prediction-systemInstall dependencies:
pip install -r requirements.txtBuild the Docker image:
docker build -t soccer-predictor .Run the Docker container:
docker run -p 5000:5000 soccer-predictorRun the Flask application:
flask runThe application will be accessible at http://localhost:5000 in your web browser.
- app.py: Main Flask application file.
- templates/: HTML templates for the web interface.
- static/: Static files (CSS, JavaScript, etc.).
- models/: Machine learning models for match prediction.
- tests/: Unit tests for the application.
- config.py: Configuration file for the application.
If you would like to contribute to the project, please follow the guidelines in the CONTRIBUTING.md file.
This project is licensed under the MIT License.
This is a basic template, and you might want to expand or modify it based on the specifics of your project and your preferences for documentation structure.