Face-Clustering Web App

Welcome to the Face-Clustering Web App! This application uses the Face Recognition library to detect, encode, and cluster faces from uploaded images. It provides a simple interface for clustering and visualizing face groups.

Features

• Face Detection & Encoding: Automatically detects and encodes faces from images using the Face Recognition library.
• Clustering: Groups similar faces together and displays the clusters.
• User-Friendly Interface: Upload images, process them, and view the results with ease.

App Workflow

1. Run the App: Execute the command below to start the application:

   python app.py

2. Access the App: Open your web browser and navigate to http://localhost:5000.

3. Upload Images: Use the interface to select and upload images you want to cluster.

4. Process the Images: Click on the "Proceed" button to start the clustering process.

5. View Results: Wait for the results to be displayed. The app will show you the clustered faces.

Requirements

• Python 3.x
• Face Recognition library
• Flask (for the web application)

Installation

1. Clone the repository:

   git clone https://github.com/Lokesh-1015/Face-Clustering-WebApp.git

2. Navigate to the project directory:

   cd your-repository

3. Install the required packages:

   pip install -r requirements.txt

4. Run the application:

   python app.py