FACE EMBEDDING RECOGNITION MODEL V1 (PRODUCT)

Face embedding model for face recognition and authentication in sign-in systems using deep learning.

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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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