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Pizza Price Predictor

This project is a machine learning application that estimates the price of a pizza based on the diameter in centimeters. Using scikit-learn and ``Streamlit`, it offers a user-friendly and intuitive interface to view price predictions in real time.

Features

• Diameter input - Allows user to insert the diameter of the pizza in centimeters.
• Price Prediction - Based on a linear regression model, the application estimates the price of the pizza and displays the estimated value.
• Intuitive Interface - Developed with Streamlit, the app has a simple and user-friendly interface for easy use.

Technologies Used

• Python - Language used.
• Streamlit - Application interface.
• scikit-learn - Train the linear regression model.
• Pandas - Data manipulation.

Steps to install and run

1. Clone the repository:

git clone https://github.com/felipeclarindo/pizza-price-predictor.git

2. Enter directory:

cd pizza-price-predictor

3. Create the Virtual Environment:

python -m venv .venv

4. Activate the Virtual Environment running file .bat in .venv/Scripts/activate.bat.

5. Install dependencies:

pip install -r requirements.txt

6. Run the application:

streamlit run app/main.py

7. The application will be available at:

• http://localhost:8501

8. Steps for use:

• Enter the diameter of the pizza in centimeters.
• Click Calculate price to see the prediction.

Contribution

Contributions are welcome! If you have suggestions for improvements, feel free to open an issue or submit a pull request.

Author

Felipe Clarindo

• LinkedIn
• Instagram
• GitHub

License

This project is licensed under the GNU Affero License.