Developed a face detection system using Convolutional Neural Networks (CNN). The model was designed to accurately detect and localize faces in images. I used OpenCV for image preprocessing and labeled datasets for training. The CNN architecture included multiple convolutional, pooling, and fully connected layers to extract features from the input images. After training, the model achieved high accuracy in detecting faces under various conditions, such as different lighting and facial expressions. The system was optimized for real-time performance, making it suitable for applications in security and surveillance.