A modern authentication app built with Flutter, featuring support for traditional email/password sign-in, Google authentication, and a custom email + Face ID flow.

✅ This is my first complete Flutter app, combining Firebase-like backend power from Supabase with on-device machine learning using Google ML Kit.

🔐 Authentication

☁️ Backend

🤖 Machine Learning

📸 Media Integration

🎯 Cross-platform

Package Purpose flutter Flutter SDK cupertino_icons iOS-style icons supabase_flutter Supabase integration (Auth + DB + Storage) flutter_dotenv Environment variable management google_sign_in Google login google_mlkit_face_detection Face detection via ML Kit camera Camera preview and capture image_picker Pick images from gallery or camera audioplayers Feedback sounds permission_handler Runtime permissions (camera, storage) path_provider, path Local file access and paths

Create a .env file in the root directory:

Follow .env.example to set up your environment variables.

Email/Password: Standard auth flow using Supabase Auth.

Google Sign-In: Uses OAuth via google_sign_in + Supabase integration.

All private data is protected using Row-Level Security (RLS).

A limited unauthenticated read is allowed for email-based face verification.

Face comparison via embedding & distance metrics.

Onboarding walkthrough for new users.

Dark mode support.

This project is licensed under the MIT License.