Facial Emotion Recognition
A deep-learning system that classifies human facial expressions on the FER2013 dataset, comparing a convolutional baseline against a Vision Transformer (ViT).
- Python
- PyTorch
- Vision Transformer
- CNN
- Computer Vision
Portfolio
Data science and AI work across computer vision, applied machine learning, and practical model development.
A deep-learning system that classifies human facial expressions on the FER2013 dataset, comparing a convolutional baseline against a Vision Transformer (ViT).
A machine-learning and NLP-based verification system for consumer emails and SMS messages; using probability scores to classify communications as legitimate, suspicious, or fraudulent and support safer digital interactions at scale.
A MATLAB study on fine-grained image classification using the Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset. The project compares classical computer-vision pipelines (hand-crafted features + classical classifiers) against deep convolutional neural networks, across two image settings — whole images and bounding-box crops — on both a 20-class subset and the full 200-class dataset.