Image Example: Oprah Winfrey
Deep Learning Model (ResNet50): Transfer learning for accurate face classification.
 Training Pipeline: Custom training using PyTorch on the LFW dataset.
 Real-Time Recognition: Face detection and recognition through a webcam feed powered by OpenCV.
 GPU Acceleration: Supports CUDA for faster training and inference.
Python, PyTorch, OpenCV
ResNet50 (pretrained model)
TQDM for training progress
Add FPS counter for real-time performance monitoring.
 Expand dataset for improved generalization.
 Integrate face embeddings for advanced recognition capabilities.
Impact:
This project demonstrates the application of deep learning and computer vision to real-world tasks, combining efficiency, accuracy, and real-time usability.
For Source Code: