FacePresence

An intelligent, machine learning–driven student attendance system leveraging facial recognition for fast, accurate, and automated attendance management.

📌 Project Overview

FacePresence is a full-stack facial recognition attendance system built with Python, Flask, JavaScript, and MySQL, integrated with a cloud database (Aiven) for scalability and remote access. The system offers:

• ⚡ 99.38% Facial Recognition Accuracy
• 📊 Real-time Attendance Analytics Dashboard
• ☁️ Cloud-based Storage and Instant Record Retrieval
• 🧑‍🎓 Support for 500+ Students

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🚀 Features

• 🎯 Face Recognition-based Identification
  Automated attendance with high-accuracy face recognition using the face_recognition library.

• 📈 Admin Dashboard with Analytics
  Monitor real-time student attendance and performance data to reduce manual overhead.

• 🌐 Cloud Integration (Aiven for MySQL)
  Ensures seamless, scalable access to attendance records from anywhere.

• 💡 Responsive Frontend
  Built using HTML5, CSS3, and vanilla JavaScript for intuitive UI and cross-device compatibility.

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📷 Face Registration & Attendance

• Register Student: Upload a photo and details.
• Give Attendance: Capture image via webcam and auto-mark attendance using face match.
• Admin Panel: View attendance logs, search students, export records.

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🛠️ Tech Stack

• Frontend: HTML5, CSS3, JavaScript
• Backend: Python, Flask
• Database: MySQL (Hosted on Aiven)
• Libraries/Tools:
  • face_recognition
  • OpenCV
  • Flask
  • MySQL Connector

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Prerequisites

• Python 3.7+
• Virtualenv (recommended)
• MySQL server (or Aiven DB access)
• Webcam for facial recognition

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📌 Future Improvements

• Role-based login for teachers and admins
• Attendance charts and downloadable reports
• Email/SMS alerts for absenteeism
• Live facial recognition with video stream

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