🎓 SnapClass

An AI-powered smart attendance management system built with Python, Streamlit, and Supabase. SnapClass uses Face Recognition, Voice Recognition, and QR Code technology to simplify and automate attendance management for educational institutions.

✨ Features

👨‍🎓 Student

• Student Registration
• Secure Password Login
• Face Recognition Login
• Voice Registration
• QR Code Attendance
• View Attendance History
• Student Dashboard

👨‍🏫 Teacher

• Teacher Login
• Teacher Dashboard
• Manage Subjects
• Voice-based Attendance
• Generate QR Code Attendance
• View Attendance Records
• Download Attendance Reports in Excel (.xlsx)

🤖 AI Features

• Face Recognition Authentication
• Voice Recognition
• QR Code Attendance

🛠️ Tech Stack

• Frontend: Streamlit
• Backend: Python
• Database: Supabase (PostgreSQL)
• Computer Vision: OpenCV, face_recognition, dlib
• Voice Recognition: Librosa, Resemblyzer
• QR Code: Segno
• Security: bcrypt
• Libraries: NumPy, Pandas, Pillow

📂 Project Structure

SnapClass/
│── src/
│   ├── components/
│   ├── database/
│   ├── screens/
│   ├── services/
│   ├── ui/
│   └── utils/
│── app.py
│── requirements.txt
│── README.md
│── LICENSE

🚀 Getting Started

Clone the repository:

git clone https://github.com/arkeshdev/snapclass.git
cd snapclass

Create a virtual environment:

python -m venv venv

Activate it:

Windows

venv\Scripts\activate

Linux/macOS

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Configure your Supabase credentials and run:

streamlit run app.py

🔮 Future Enhancements

• Attendance Analytics Dashboard
• AI-powered Attendance Insights
• Email Notifications
• Multi-Institution Support

📄 License

This project is licensed under the MIT License.