Developed a deep learning-based face mask detection system capable of identifying whether a person is wearing a mask in real time using computer vision techniques. The project includes image preprocessing, model training with CNN/TensorFlow, real-time webcam detection using OpenCV, and performance evaluation for accurate mask classification.