AttendEase 🎓📷

An AI-powered, real-time facial recognition-based attendance system built using OpenCV and Python. Designed to streamline classroom attendance processes by automating student check-ins with high accuracy and minimal human intervention.

🚀 Features

• 🎥 Live Face Detection & Recognition
  Uses webcam input to detect and recognize student faces in real time.

• 📁 Student Database Management
  Easily add and manage student profiles using images and unique IDs.

• 🗂️ Automated Attendance Logging
  Records attendance to a CSV file with timestamps and recognition confidence.

• 📊 Report Generation
  Generates daily attendance reports for easy review and administrative use.

• 🔐 Proxy Prevention
  Reduces chances of proxy attendance by ensuring face-to-ID matching.

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🧠 Technologies Used

• Python
• OpenCV
• face_recognition (built on dlib)
• NumPy
• Pandas

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🖥️ Setup Instructions

1. Clone the repository

   git clone https://github.com/sahilgupta3023/AttendEase.git
   cd AttendEase

2. Create a virtual environment (optional but recommended)

   python -m venv venv
   source venv/bin/activate 

3. Add student images
   Add labeled student images to the dataset/ folder. The folder name should be the student's name or ID.

4. Run the application

   python attendEase.py

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✅ Future Improvements

• GUI using Tkinter or PyQt
• Integration with a cloud database
• Email/SMS alerts for absentee notifications
• Admin dashboard for managing records

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🙋‍♂️ Author

Sahil Gupta
📫 [email protected]
🔗 LinkedIn
🔗 GitHub

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⭐️ Show Your Support

If you found this project helpful, feel free to star this repo and share it with others!
Pull requests and feedback are always welcome!