Face Recognition Application in Flutter

This research paper explores the integration of Google's FaceNet model with the Flutter framework to create a highly accurate and efficient facial recognition system. The paper discusses the architecture of FaceNet, emphasizing its ability to extract facial features and perform accurate facial matching. The challenges and considerations involved in integrating a deep learning model into Flutter are addressed, focusing on optimization techniques and resource management. The proposed integration holds promise for secure authentication systems, personalized user experiences, and augmented reality applications. Performance evaluations and experiments validate the effectiveness of the integrated model, providing valuable insights for developers and researchers interested in leveraging facial recognition technology within the Flutter ecosystem. The integration of FaceNet with Flutter makes room for new possibilities in advanced mobile applications, bridging the gap between deep learning and cross-platform development.