Describe the steps involved in a machine learning project using the example of fruit sorting.

The steps involved in a machine learning project using the example of fruit sorting are:

1. Data collection: Collect images of different fruits such as apples, bananas, and oranges.
2. Data preparation: Label the images and preprocess them to make the data suitable for analysis.
3. Feature extraction: Identify features such as colour, shape, and size of fruits.
4. Model training: Train a machine learning model using the prepared and labelled data so that it can learn patterns.
5. Model testing: Test the trained model using new fruit images to check its accuracy.
6. Deployment: Use the trained model in a real-time system to automatically sort fruits based on their features.