🧑‍💼 Face Attendance Maker using Streamlit and OpenCV 😎

📌 Published by @anurag_panda

🚀 GitHub Repo: Face Attendance Maker

• 👋 Introduction
  Attendance tracking is a crucial part of any educational institution or organization, but the traditional method of calling names or marking attendance manually is outdated and error-prone.

So I built Face Attendance Maker — a modern solution that uses face recognition to automate attendance using Streamlit for the UI and OpenCV for the camera and image processing.

• 🧠 Features
  ✅ Real-time face detection using OpenCV
  ✅ Attendance tracking with time stamps
  ✅ Streamlit-based UI for ease of use
  ✅ CSV export of attendance records
  ✅ Simple, clean, and fast

• 🧰 Tech Stack
  Python

Streamlit – for the front-end UI

OpenCV – for face detection and camera access

face_recognition – for comparing and identifying faces

NumPy & Pandas – for data handling

CSV – for storing attendance records

• 🚦 How It Works
  Upload or register known faces in a folder (ImagesAttendance/)

Launch the Streamlit app

Camera opens and starts detecting faces

If a known face is found:

Name and timestamp are recorded

Data is saved into Attendance.csv

• 🖥️ Getting Started
  Clone the repo:

git clone https://github.com/anurag-panda-nshm/face-attendance-maker
cd face-attendance-maker

Install dependencies:

pip install -r requirements.txt

Run the app:

streamlit run app.py

📸 Make sure your webcam is enabled.

📁 face-attendance-maker/
├── app.py
├── Attendance.csv
├── ImagesAttendance/
│   └── anurag.jpg
├── requirements.txt
└── ...

Add more images to ImagesAttendance/ with filenames as the person’s name.

• 🔍 Use Cases
  Classroom attendance

Workplace check-ins

Event registrations

Lab/Library access tracking

• ⚙️ Future Improvements
  Face registration through the UI

Multi-user support and login system

Dashboard with analytics

Integration with cloud databases like Supabase or Firebase

🙌 Let’s Collaborate!
Feel free to fork, contribute, or open issues!
⭐ Star the repo if you like the project!

GitHub: https://github.com/anurag-panda-nshm/face-attendance-maker

• 💬 Final Thoughts
  Building this project taught me how powerful and fun real-time computer vision can be. With Streamlit, it’s easier than ever to turn Python scripts into beautiful web apps.

Let me know your thoughts or improvements!

📧 Reach out on LinkedIn or drop a comment below 👇