This document describes a minor project on developing a face mask detector using computer vision and deep learning techniques. The project aims to create a model that can detect faces with and without masks using OpenCV, Keras/TensorFlow. A two-class classifier was trained on a mask/no mask dataset to obtain 99% accuracy. The fine-tuned MobileNetV2 model can accurately detect faces and identify whether masks are being worn, making it suitable for deployment on embedded systems.