---
title: Face Recognition Model Demo App
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: Face Recognition Project using Transfer Learning( FaceNet em
license: mit
---

# Face Recognition Model Demo App

[![Hugging Face Spaces](https://img.shields.io/badge/🤗%20HuggingFace-Spaces-red.svg)](https://huggingface.co/spaces/AI-Solutions-KK/face_recognition_model_demo_app)
[![Streamlit](https://img.shields.io/badge/Built%20with-Streamlit-brightgreen)](https://streamlit.io)

A fully interactive **Face Recognition System** built using:

- **FaceNet (InceptionResnetV1)** for embeddings  
- **SVM classifier** for identity prediction  
- Trained on a **celebrity face dataset (~18K images, 105 classes)**  

This Space demonstrates how to deploy a deep-learning + classical ML pipeline using:

- A separate **model repository**
- A separate **dataset repository**
- A fast and interactive **Streamlit UI**
- HuggingFace Hub + Xet for large file handling

## 🚀 Live Apps

### Stable Streamlit App (Recommended)
https://facerecognition-tq32v5qkt4ltslejzwymw8.streamlit.app/

### Hugging Face Space (this repo)
https://huggingface.co/spaces/AI-Solutions-KK/face_recognition_model_demo_app

## 🧩 Architecture Overview

1. **Model repo** → trained SVM + centroids + classes  
   AI-Solutions-KK/face_recognition

2. **Dataset repo** → structured celebrity dataset  
   AI-Solutions-KK/face_recognition_dataset

3. **App repo (this Space)** → Streamlit UI + inference pipeline  
   AI-Solutions-KK/face_recognition_model_demo_app

## 📁 Project Structure

src/  
  streamlit_app.py  
  app/  
    inference.py  
    config.py  
embeddings_cache/  
hf_datasets/  
requirements.txt  
README.md

## 🧠 Model Details

Hosted at: https://huggingface.co/AI-Solutions-KK/face_recognition

Includes SVM model, classes, centroids.

## 📦 Dataset Details

Hosted at: https://huggingface.co/datasets/AI-Solutions-KK/face_recognition_dataset

## 🖥 Run Locally

git clone https://huggingface.co/spaces/AI-Solutions-KK/face_recognition_model_demo_app  
cd face_recognition_model_demo_app  
pip install -r requirements.txt  
streamlit run src/streamlit_app.py

## 📚 Full Documentation

https://github.com/AI-Solutions-KK/face_recognition_cnn_svm

## 👤 Author

Developed by **Karan (AI-Solutions-KK)**