Face Verification

This project demonstrates a face verification system built with Python.
It uses deep learning techniques to compare two images and determine whether they belong to the same person.

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Features

• Loads and processes face images
• Extracts embeddings using a pre-trained model
• Compares embeddings to verify identity
• Example outputs included in the repository

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Requirements

Make sure you have the following dependencies installed:

• Python 3.8+
• Jupyter Notebook
• TensorFlow / Keras
• OpenCV
• NumPy
• Matplotlib

You can install the required packages with:

pip install -r requirements.txt

(create a requirements.txt file based on your notebook if needed)

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Usage

1. Clone this repository:

   git clone https://github.com/yourusername/face-verification.git
   cd face-verification

2. Open the notebook:

   jupyter notebook Face_Verification.ipynb

3. Run through the cells to train/test the model and verify faces.

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Example Outputs

Below are example results generated by the notebook:

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