VisionGuard AI

AI Smart Attendance & Security System

VisionGuard AI is an advanced biometric attendance and security platform based on Artificial Intelligence and Computer Vision.

The system uses real-time facial recognition, anti-spoofing security, AI analytics, automated reporting, and voice assistance to modernize attendance management and intelligent surveillance.

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Features

AI Face Recognition

• Real-time face detection
• ArcFace facial recognition
• Confidence score calculation
• Unknown person detection

Security System

• Anti-spoofing protection
• Security voice alerts
• Unauthorized person detection
• Smart monitoring system

Smart Dashboard

• Cyberpunk Glassmorphism UI
• Real-time analytics
• Attendance statistics
• Student ranking system
• Live activity feed

Reporting System

• PDF report generation
• Excel report generation
• Automatic email sending

Authentication

• Secure login/logout system
• Admin access control

AI Voice Assistant

• Voice welcome system
• Security warning alerts

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Technologies Used

• Python
• Streamlit
• OpenCV
• DeepFace
• ArcFace
• SQLite
• Plotly
• FPDF
• Pandas
• Pyttsx3

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Project Structure

VisionGuard_AI/
│
├── ai_engine/
│   └── recognition.py
│
├── app/
│   ├── auth.py
│   └── reports.py
│
├── database/
│   ├── database.py
│   └── attendance.db
│
├── dataset/
│
├── reports/
│
├── main.py
│
└── README.md

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Installation

Clone Repository

git clone https://github.com/bakallahou/VisionGuard_AI.git

Install Dependencies

pip install -r requirements.txt

Run Application

streamlit run main.py

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Future Improvements

• Cloud deployment
• Multi-camera support
• Face snapshot history
• Mobile application
• AI behavior analytics
• Multi-language assistant

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Developer

Bakalla Houssam
FST Errachidia —

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