This project is an intelligent mirror with real-time facial detection and recognition capabilities, providing personalized user interfaces and medication reminders. It utilizes FaceNetMobile, Tensorflow Lite, Google ML Kit, and Flutter Framework technologies for optimal performance.

Face Authentication with tflite (offline).

This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore. It allows users to capture and store their face data for subsequent identification, predicting identities based on cosine similarity.