A complete AI-powered Smart Attendance System with:
Deep Learning–based face recognition (RetinaFace + ArcFace)
Backend API for real-time attendance logging
Frontend dashboard for students & admin (Hosted on Vercel)
Secure identity verification + anti-spoofing
This project integrates ML + Backend + Frontend into one real-world smart attendance platform.
- Real-time face detection (RetinaFace)
- Accurate face recognition (ArcFace embeddings)
- Anti-spoofing & secure verification
- Backend API for attendance & user management
- Fully responsive frontend dashboard (Vercel)
- Auto attendance logging (CSV/JSON/DB-ready)
- Admin panel to view attendance records
- Live camera processing for attendance marking
| Category | Tools Used |
|---|---|
| AI Models | RetinaFace, ArcFace |
| Backend | Python, FastAPI / Flask, GitHub Repo (Suhas) |
| Frontend | React / Next.js (Hosted on Vercel) |
| Libraries | OpenCV, NumPy, Scikit-Learn |
| Output | CSV / JSON Attendance Logs |
| Hosting | Vercel (Frontend), Local/Server (Backend) |
🔗 Smart Attendance Frontend:
https://student-aiet.vercel.app/
Main Backend (AI + ML)
https://github.com/kumar-kiran-24/Automated-Attendance-System
Full Backend for Attendance API & Admin
https://github.com/suhas-developer07/Smart-Attendence-System
Camera Feed (Student) ↓ AI Model (RetinaFace + ArcFace) ↓ Face Matching & Validation ↓ Backend API (Python / FastAPI) ↓ Attendance Marked (CSV/DB) ↓ Frontend Dashboard (Next.js – Vercel)
git clone https://github.com/kumar-kiran-24/Automated-Attendance-System
cd Automated-Attendance-System
pip install -r requirements.txt
python main.py # for the run the model
python app.py # for run the backend to student pannel