AlphaVizi

🚦 Road-Accident-Severity-Prediction-ML - Predict Casualty Severity with Ease

🚀 Getting Started

Welcome to the Road-Accident-Severity-Prediction-ML project. This tool helps you analyze road traffic accident data and predict the severity of casualties using machine learning techniques. You don’t need any programming knowledge to use it.

💻 System Requirements

To run this application, ensure your system meets these requirements:

• Operating System: Windows 10 or higher, macOS, or Linux
• RAM: At least 4 GB
• Storage: Minimum of 200 MB free space
• Software: Latest version of Python (3.7 or higher)
• Internet Connection: Required for downloading data files and dependencies

📥 Download & Install

To get the software, follow these steps:

1. Visit the Releases Page: Go to the Releases Page to access the latest version.

2. Choose the Installation File: Look for the latest release at the top of the page. You will see several files listed. Choose the one that fits your operating system (e.g. Road_Accident_Severity_Prediction_Windows.exe for Windows users or Road_Accident_Severity_Prediction_Mac.dmg for Mac users).

3. Download the File: Click on the file name to start the download. Once the file is downloaded, you’ll find it in your downloads folder.

4. Run the Application:
   • For Windows Users: Double-click the .exe file. Follow the on-screen instructions to install it.
   • For Mac Users: Open the downloaded .dmg file. Drag the application to your Applications folder. You can now find it in the Launchpad.
   • For Linux Users: Unzip the downloaded file and run the application from the terminal.
5. Open the Application: After installation, find the application on your computer. Open it to start using the tool.

📊 Features

The Road-Accident-Severity-Prediction-ML application offers a variety of features, making it user-friendly and efficient:

• Data Preprocessing: Clean and prepare data for analysis.
• Exploratory Data Analysis: Visualize and explore the data with insightful charts.
• Correlation Analysis: Identify relationships between different factors.
• Classification Models: Use machine learning to predict severity levels.
• Decision Tree Interpretation: Understand the key factors affecting accident severity.

📖 How to Use

1. Load Your Data: Once the application is open, click on the “Upload Data” button. Select your accident data file, typically in CSV format.

2. Analyze the Data: Use the available options to explore your data visually. You can generate charts and graphs to better understand trends.

3. Run Predictions: Click on the “Predict” button. The application will analyze the data and display the predicted severity of accidents.

4. Save Results: After predictions, you can download the results as a CSV file by clicking on the “Download Results” button.

🔍 Troubleshooting

If you encounter any issues:

• Check System Requirements: Ensure your system meets the requirements listed above.
• Refer to the Help Section: The application includes a Help section with common questions and answers.
• Community Support: Join discussions on our GitHub Issues page if you need further assistance.

🌟 Contribution

We welcome contributions. If you have ideas for features, improvements, or bug fixes, please get involved. You can find the guidelines for contributing in the CONTRIBUTING.md file on the repository.

📜 License

This project is licensed under the MIT License. You can find more details in the LICENSE file located in the repository.

📞 Contact

For any questions or feedback, feel free to reach out via the GitHub Issues page. We appreciate your input and are here to help.

Explore the world of road accident predictions today! Don’t forget to download the application from the Releases Page and start predicting severity levels easily.