This project is an application for classifying the quality of coconuts using the K Nearest Neighbors algorithm. It is built with Streamlit for easy deployment.

1. Clone the repository:

   git clone https://github.com/your-username/tesiscoconut.git

2. Install the required dependencies:

   pip install -r requirements.txt

1. Run the Streamlit app:

   streamlit run app.py

2. Access the app in your web browser at http:https://localhost:8501.

The app is deployed using Streamlit, which provides a simple and interactive user interface for the classification task. The code for the app can be found in the streamlit_app.py file.