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

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.

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-based solution for automatic brain tumor detection using MRI scan images. This project employs Convolutional Neural Networks (CNNs) to classify images into tumor and non-tumor categories. Built with TensorFlow and Python, it aims to support early and accurate medical diagnosis.