Car Quality Evaluation

This project is a web application built by Streamlit for evaluating car quality. It uses a Random Forest Classifier model trained on the Car Evaluation Data Set from Kaggle. The model was built by Prashant Banerjee.

Demo

You can view a demo of the web application on YouTube:

Live Demo

You can try this live demo of the application: Here

Deployment

To deploy the web application on your local machine, follow these steps:

# Clone the repository
git clone https://github.com/veraz00/Car-Quality-Evaluation.git

# Create a virtual environment
python3 -m venv car_env 

# Activate the virtual environment
source car_env/bin/activate 

# Navigate to the project directory
cd <path to current project>

# Install the dependencies
pip3 install . 
# pip3 install .[dev]


# Run the application
streamlit run main.py