title	Vision AI Engine
emoji	👁️‍🗨️
colorFrom	blue
colorTo	indigo
sdk	docker
pinned	false

👁️ Vision AI Engine

A professional-grade facial biometrics and analysis platform powered by deep learning.

Vision AI is a high-performance facial biometrics dashboard delivering real-time analysis of gender identification, age estimation, emotional spectrum analysis, and ethnicity classification. Built with state-of-the-art neural networks, it processes both live webcam feeds and uploaded images with exceptional accuracy.

🎯 Live Demo on Hugging Face Spaces

Try the Vision AI Engine in action with real-time facial analysis — no installation required.

✨ Core Features

• 🎬 Live Facial Scanning — Real-time biometric HUD with neural stabilization for consistent tracking across all poses and lighting conditions.
• 🔐 Identity Verification — High-precision face matching using deep similarity metrics (VGG-Face, ArcFace) with sub-second response times.
• 🛡️ Occlusion Handling — Optimized performance for subjects with headgear (hijab), eyewear, masks, or varying lighting conditions.
• 📊 Detailed Analytics — Sub-model level breakdowns with demographic clustering, emotion spectrum analysis, and confidence metrics.

🚀 Installation & Setup

Prerequisites

• Python 3.8+
• Webcam or image input capability
• 4GB+ RAM (8GB+ recommended for optimal performance)

Quick Start

1. Clone the Repository

   git clone https://github.com/hodfa840/face-recognition-app-flask-python.git
   cd face-recognition-app-flask-python

2. Create Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows: .\venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Download Pre-trained Models

   python scripts/download_weights.py

5. Launch the Application

   python run.py

   Access the dashboard at http://localhost:5000

---

👤 Contributors

Developed and maintained by: hodfa840
Contact: hodfa840@student.liu.se

---

Vision AI Engine — Professional Facial Biometrics Platform