This project is a simple image classification web application built using Streamlit. It was developed as a learning project by following an online tutorial.

• Upload an image (JPG or PNG)
• The application uses a trained model to classify the image into one of the 10 CIFAR-10 classes.
• Displays the uploaded image.
• Shows a bar chart of the prediction probabilities for each class.

The model can classify images into the following 10 categories:

• Airplane
• Automobile
• Bird
• Cat
• Deer
• Dog
• Frog
• Horse
• Ship
• Truck

This project was created by following a tutorial on building machine learning applications with Streamlit. Link to tutorial: https://youtu.be/_Syn5SpWgZ0?feature=shared