This project’s aim is to assess the classification of paintings by genre and era, two non-context classifications of images through a convolutional neural network architecture for image classification.

Training and Analyzing various U-Net and Attention U-Net mdoels for cell segmentation.

Ottoman Turkish NLP.

Developing and training autonomous computer vision models to detect and segment key regions of interest (ROI) from ceramic cross sections.

Building upon baseline Bidirectional Attention Flow Model to enhance Question-Answering using positional encoding and attention mechanisms.

Using NLP techniques to develop a Movie Recommender chatbot.