Facial detection and recognition technology has progressed to the point where it may now play a crucial role in a variety of situations, such as when an individual is required to identify themselves in a secure environment or when they seek social services. Biometrics refers to unique qualities including face features, hand form, and even signatures. The discipline of ”biometrics” has a subset called ”face recognition.” In order to improve the context of face recognition, a camera may be used. The goal of this study is to build a model of a Siamese neural network capable of facial recognition. This will be done by comparing two camera-taken pictures and figuring out how similar they are to one another. With the use of this technique, a pre-possessed picture may be created and supplied to the model for identification and prediction.