🎓 Smart Attendance System

📸 Revolutionizing Attendance Tracking with AI

🌟 Features

• 🤖 AI-Powered Face Recognition: Instantly identify and mark attendance
• 📊 Real-time Analytics: Track attendance patterns with beautiful visualizations
• 📱 Responsive Design: Works seamlessly on desktop and mobile devices
• 📑 Excel Integration: Export attendance data with one click
• 👥 Multi-User Support: Different roles for admin and teachers
• 🔐 Secure Authentication: Protected routes and encrypted data

🚀 Quick Start

Frontend Setup

Clone the repository

git clone https://github.com/apih99/Face_Recognition_Attendance.git

Navigate to frontend directory

cd attendance-system/frontend

Install dependencies

npm install

Start the development server

npm start

Backend Setup

Navigate to backend directory

python -m venv venv

Active virtual environment

source venv/bin/activate # Unix/macOS
.\venv\Scripts\activate # Windows

Install dependencies

pip install -r requirements.txt

Start the server

uvicorn main:app --reload

🛠️ Tech Stack

Frontend

• ⚛️ React
• 🎨 Material UI
• 📊 Recharts
• 📷 React Webcam
• 📑 XLSX

Backend

• 🐍 Python
• ⚡ FastAPI
• 🎭 OpenCV
• 🗄️ SQLAlchemy
• 📊 Pandas

📱 Screenshots

Smart Dashboard with Real-time Analytics

Face Recognition in Action

🌍 Browser Support

• 💻 Chrome (last 2 versions)
• 🦊 Firefox (last 2 versions)
• 🧭 Safari (last 2 versions)
• 🌐 Edge (last 2 versions)

📈 Project Structure

attendance-system/
├── frontend/ # React frontend
│ ├── src/
│ ├── public/
│ └── package.json
│
└── backend/ # Python backend
├── app/
├── models/
├── services/
└── requirements.txt

🤝 Contributing

We love your input! We want to make contributing as easy and transparent as possible. Please:

1. 🍴 Fork the repo
2. 🔄 Create your feature branch
3. 💻 Commit your changes
4. 🚀 Push to the branch
5. 📫 Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Made with ❤️ by [Hafiz]