A cutting-edge, AI-powered Face Recognition Attendance System with a sleek, neumorphic UI—built using Flask, OpenCV, PyTorch, and SQLite. Effortlessly register faces, verify identities, and track attendance in real-time!
🔥 Seamless. Secure. Smart.
✔️ AI-Powered Face Detection – No manual input needed. Just look at the camera!
✔️ Real-Time Face Recognition – Instant verification with deep learning models.
✔️ Automated Attendance Logging – Mark attendance with a single glance.
✔️ Intelligent Dashboard – Track attendance records with filters & calendar view.
✔️ Neumorphic UI – A modern, minimalist design that looks stunning.
| Category | Technologies |
|---|---|
| Backend | Flask, OpenCV, PyTorch, SQLite |
| Frontend | HTML, CSS (Neumorphic Design), JavaScript |
| Database | SQLite (Face Embeddings & Attendance) |
| Data Handling | Pandas (CSV-based Attendance Tracking) |
👤 Click "Register" and let the system capture & store face embeddings securely.
🔍 Click "Verify" and the system will instantly identify registered users.
✅ Click "Take Attendance" and attendance is automatically logged in real-time!
⏳ Data is stored in attendance.csv and displayed in a modern, interactive UI.
🔹 Dynamic Table: View attendance history effortlessly.
🔹 Powerful Filters: Sort by month, day, hour, and minute.
🔹 Interactive Calendar: Visualize attendance patterns at a glance.
| Home Page | Attendance Dashboard |
|---|---|
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git clone https://github.com/your-username/face-recognition-attendance.git
cd face-recognition-attendancepip install -r requirements.txtpython app.pyGo to http://127.0.0.1:5000/ in your browser