This study explores the application of deep facial recognition technology to identify kinship patterns among strangers using convolutional neural networks (CNNs). Utilizing the VGGFace2 dataset, a deep CNN model was developed and evaluated to determine its effectiveness in inferring familial relationships based on facial features. The model achieved an impressive accuracy of 95%, demonstrating its potential for accurately recognizing kinship. This research highlights the promising applications of facial feature analysis in various domains, including forensic science and social network research. Additionally, it addresses both technological and ethical considerations, contributing to the responsible development and application of facial recognition technology for establishing familial ties. The comprehensive evaluation provided in this study underscores the potential and implications of facial recognition technology in determining kinship, while also identifying areas for future research and improvement.