Student Attendance with Face Recognition

🌐 Tech Stack

• Frontend: HTML, JS (face-api.js)
• Backend: Node.js, Express.js
• Database: MongoDB (Atlas)

🚀 Deployment

Frontend

1. Upload folder client/ ke Vercel atau Netlify.
2. Pastikan models folder berisi file model dari face-api.js (sudah disertakan dummy).
3. Pastikan URL backend diganti sesuai deployment backend.

Backend

1. Deploy folder server/ ke Render atau Railway.
2. Atur variabel environment MONGO_URI dari MongoDB Atlas.
3. Endpoint aktif di: https://your-backend-url.com/api/attendance

Face API Models

Model dummy sudah disertakan. Download versi asli dari: https://github.com/justadudewhohacks/face-api.js-models Letakkan ke client/models/

✅ Fitur

• Deteksi wajah real-time via webcam
• Simpan presensi ke database dengan nama dan descriptor wajah
• Siap digunakan via browser dan hosting online