FACE EMBEDDING RECOGNITION MODEL V1 (PRODUCT)
Face embedding model for face recognition and authentication in sign-in systems using deep learning.
Description
Model Overview
This is a face recognition model built using TensorFlow/Keras that generates facial embeddings for identity verification and sign-in systems.
📥 Input
Face image (RGB)
📤 Output
Face embedding vector (numeric feature representation)
⚙️ Use Case
User authentication systems
FYP sign-in project
Identity verification systems
🧠 How It Works
Input face image is processed
Model extracts deep facial features
Embedding vector is generated
Vector is used for comparison/matching
📦 Framework
TensorFlow / Keras
🚀 Requirements
See requirements.txt for dependencies
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