🎭 Face Recognition Attendance System

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.

---

🚀 Features at a Glance

✔️ 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.

---

🛠️ Tech Stack

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)

---

📸 How It Works

🔴 Step 1: Register Faces

👤 Click "Register" and let the system capture & store face embeddings securely.

🟢 Step 2: Verify Faces

🔍 Click "Verify" and the system will instantly identify registered users.

📅 Step 3: Mark Attendance

✅ Click "Take Attendance" and attendance is automatically logged in real-time!

⏳ Data is stored in attendance.csv and displayed in a modern, interactive UI.

---

📊 Advanced Attendance Tracking

🔹 Dynamic Table: View attendance history effortlessly.
🔹 Powerful Filters: Sort by month, day, hour, and minute.
🔹 Interactive Calendar: Visualize attendance patterns at a glance.

---

🎨 UI Preview

Home Page	Attendance Dashboard

---

🚀 Installation & Setup

1. Clone the Repository

git clone https://github.com/your-username/face-recognition-attendance.git  
cd face-recognition-attendance

2. Install Required Libraries

pip install -r requirements.txt

3. Run the Application

python app.py

4. Open the Web App

Go to http://127.0.0.1:5000/ in your browser