• In a significant initiative to enhance public health safety measures, I developed a robust face mask identification model. This project was particularly challenging and rewarding, as it involved analyzing images from large groups and videos to determine if individuals were wearing masks properly. • Explored various other classification models, including SVM and Random Forest, but found that the CNN model outperformed others in terms of accuracy and efficiency. • Technologies Used: TensorFlow, Keras for model building, and the Adam Optimizer for efficient training.