Trojan3877

The **Facial Emotion Recognition System** is a robust computer vision pipeline that detects and classifies human emotions (e.g., happy, sad, angry, surprised) from facial images and video streams. It leverages transfer learning with state-of-the-art convolutional neural networks (e.g., ResNet, EfficientNet) in PyTorch, fine-tuned on the FER2013 ben

The **AI Vehicle Safety Classifier** is a high-performance computer vision system designed to automatically detect and classify vehicle safety scenarios (e.g., proper seatbelt usage, distracted driving, passenger presence) from video or image inputs. Built in C++ for low-latency inference and paired with a Python reference implementation.