AI-Powered Smart Attendance & Parking Management System

AI-Powered Smart Attendance & Parking Management System

A smart access management system designed to automate attendance tracking and vehicle parking using Artificial Intelligence and IoT technologies.

The system combines **face recognition, QR code scanning, and RFID** to provide a secure and automated solution for managing access, attendance, and vehicle entry.

Key Features:

Face recognition for automated attendance.

QR code scanning for access verification.

RFID-based vehicle identification.

Raspberry Pi used as the main processing and control hub.

Real-time communication between the system components.

Database integration for storing attendance and access records.

Automated management of entry and parking operations.

Technologies Used:

Python, OpenCV, Face Recognition, Raspberry Pi, RFID, QR Code, NoSQL Database, Flutter & Dart.

My Role:

Designed and developed the system components, integrated the hardware and software, implemented the computer vision functionality, and connected the system with the database to manage attendance and access records.

The project was developed as a graduation project with the goal of providing a practical and automated solution for smart attendance and parking management.