🤖 RT-FaceAuth

A Real-Time Face Authentication System built with Python, OpenCV, and face_recognition, using Cloudinary for cloud image storage. This project uses webcam video to recognize faces and display related user info with a custom UI overlay.

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🎯 Features

• 🎥 Real-time face detection and recognition using webcam
• 🧠 Face encoding with face_recognition
• ☁️ Image upload and retrieval via Cloudinary
• 🖼️ UI overlays using cvzone and OpenCV
• 📦 Local storage of face encodings with pickle
• 🧾 Display of user info and attendance

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🛠️ Tech Stack

• Language: Python 3.8+
• Face Recognition: OpenCV, face_recognition
• Cloud Storage: Cloudinary
• UI Overlay: cvzone
• Data Storage: pickle, local files
• Virtual Environment: venv

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📁 Project Structure

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☁️ Cloudinary Setup

1. Create a free account at Cloudinary
2. Note your:
   • cloud_name
   • api_key
   • api_secret
3. Create a file named cloudinary_config.py:

import cloudinary
import cloudinary.uploader

cloudinary.config(
  cloud_name="your_cloud_name",
  api_key="your_api_key",
  api_secret="your_api_secret"
)

def upload_to_cloudinary(image_path):
    result = cloudinary.uploader.upload(image_path)
    return result['secure_url']

python```
🧑‍💻 Author
Made with ❤️ by Kamlesh Kumar Verma

GitHub: [@kamlesh1002](https://github.com/kamalkumarverma)

Email: kamleshverma1002@gmail.com

📜 License
Licensed under the MIT License

✅ Future Enhancements
Add local CSV/SQLite attendance logs

GUI for adding new users

Multiple camera support

Face registration via UI