Face Attendance System Development

Krishnansh Vasaniya

Completed work

Web Developer

Python

Streamlit

Electronics

🧑‍🏫 Face Attendance System (DeepFace + Streamlit)

A simple yet powerful web app that uses facial recognition to mark attendance automatically using the DeepFace library. Built with Python and deployed using Streamlit Cloud.

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🔥 Features

🔐 Register new faces (with name & image)

🧠 Face verification using DeepFace

📸 Upload an image to detect and mark attendance

✅ Auto-prevents duplicate entries for the same day

📄 Attendance log with download as CSV

🌙 Dark UI theme (customizable)

🚀 Live Demo

👉 Click to try the live app

📦 Installation (Local)

# Clone the repo
git clone https://github.com/krishnanshvasaniya/face_attendance_streamlit.git
cd face_attendance_streamlit

# Create a virtual environment (Python 3.10 recommended)
python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run app.py

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Completed work

Posted Jun 6, 2025

Developed a facial recognition attendance system using DeepFace and Streamlit.

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