Gender & Age Detection System Self Project
Developed a real-time gender and age detection system using OpenCV DNN with pre-trained Caffe models. Created an end-to-end computer vision pipeline combining TensorFlow-based face detection with separate age and gender classification networks. Implemented multi-class age prediction (8 classes) and gender classification with robustness to pose, lighting, and facial occlusion variations. • Built a command-line tool with argparse for flexible inference on webcam feeds and static images. • Optimized image preprocessing using OpenCV blobs for low-latency performance.