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.

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.

A model capable to detect the infection of potato through a simple picture of the leaf.