This project uses a convolutional neural network trained with TensorFlow and Keras to perform real-time face detection and classification from a webcam feed. It captures images of approaching people, classifies them as boss or non-boss, and automatically hides the screen when the boss is detected. The system uses OpenCV for image processing and webcam capture, and requires training data of boss and other person images.