https://github.com/nyx1311/attendance-using-face-recognition
“📸👩💻 Automated Attendance System using Facial Recognition 🤖✅ – mark students present in real-time & generate reports effortlessly 📊📝
https://github.com/nyx1311/attendance-using-face-recognition
cv opencv-python pillow python3 trinket
Last synced: 9 months ago
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“📸👩💻 Automated Attendance System using Facial Recognition 🤖✅ – mark students present in real-time & generate reports effortlessly 📊📝
- Host: GitHub
- URL: https://github.com/nyx1311/attendance-using-face-recognition
- Owner: Nyx1311
- License: mit
- Created: 2025-09-20T09:15:23.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-20T09:38:38.000Z (9 months ago)
- Last Synced: 2025-09-20T11:30:24.399Z (9 months ago)
- Topics: cv, opencv-python, pillow, python3, trinket
- Language: Python
- Homepage:
- Size: 1.42 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# **Attendance Management System Using Facial Recognition** 👩💻👨💻
**“Mark attendance in real-time with the power of AI and computer vision!”** 🤖✨
An **automated attendance system** that uses **computer vision** to detect and recognize faces, logging attendance efficiently and accurately. This system **reduces manual effort** and provides **instant attendance reports** in CSV or Excel formats, making it ideal for classrooms, labs, and workplaces.
---
## **Key Features** ⭐
* **Real-time face detection & recognition** 🕵️♂️
* **Automated attendance logging** and **report generation** 📊
* **Text-to-speech feedback** for user interactions 🗣️
* **Simple GUI interface** for student registration, training the recognizer, and viewing attendance records 🖥️
---
## **Tech Stack** 🛠️
* **Python** – core language for AI, automation, and GUI
* **OpenCV / opencv-contrib-python** – face detection and recognition
* **Pillow** – image preprocessing and manipulation
* **NumPy** – numerical computations and array handling
* **pandas** – managing and processing attendance records
* **openpyxl** – read/write Excel files for attendance reports
* **Tkinter** – GUI for registration, training, and reports
* **pyttsx3** – text-to-speech feedback
* **Haarcascade Classifier** – face detection
* **LBPH Face Recognizer** – robust face recognition
---
## **How It Works** ⚙️
1. **Capture and preprocess student images** 📸
2. **Train the LBPH face recognizer** with the dataset 🏋️♂️
3. **Detect and match faces in real-time** 🔍
4. **Automatically log attendance and generate reports** 📝
---
## **Usage** 💻
1. Clone the repository.
2. Install required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the application:
```bash
python attendance.py
```
Web & GUI:
Tkinter – GUI for registration, attendance, and reports