The Pizza Topping Classification project is centered around developing a deep learning model capable of automatically identifying different pizza toppings from images.

Recognizing the critical importance of early diagnosis in respiratory diseases, especially pneumonia, this project compares the performance of five state-of-the-art convolutional neural network (CNN) architectures to identify the most effective model for accurate detection.

A deep learning project for classifying seven core emotions from facial expressions using transfer learning on RGB images. Focused on model performance, efficiency, and real-world applicability.