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.
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Clone the repository:
git clone https://github.com/your-username/tesiscoconut.git
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Install the required dependencies:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
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Access the app in your web browser at
http://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.