I developed a pneumonia classifier using Stream lit, where I applied transfer learning to train a convolutional neural network (CNN) model. By leveraging a pre-trained model, I was able to adapt it for the specific task of classifying pneumonia from chest X-ray images.

This approach allowed for efficient training with high accuracy, even with a limited dataset. The classifier can quickly and effectively detect pneumonia cases, making it a valuable tool for early diagnosis.

With Streamlit, I created an interactive interface that makes the model accessible and easy to use, providing instant feedback based on the image input.