Smart Attendance System
Project
Smart Attendance System
AI-Powered Face Recognition Attendance Solution
Problem Statement
Traditional attendance systems such as manual registers, ID cards, and fingerprint scanners are time-consuming, error-prone, and vulnerable to proxy attendance. Organizations need a fast, accurate, and contactless attendance solution.
Solution Overview
The Smart Attendance System uses real-time face recognition technology to automatically mark attendance through a camera feed. Attendance is securely logged with date and time and managed via a centralized admin dashboard.
Key Features
User Features
- • Automatic attendance via camera
- • Contactless and hygienic process
- • Real-time face detection
- • High recognition accuracy
Admin Features
- • User and face registration
- • Daily, weekly, and monthly reports
- • Excel / CSV export
- • Attendance analytics dashboard
System Architecture
Camera / Mobile App
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Face Detection (OpenCV / MediaPipe)
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Face Recognition Model
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Backend API
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Database
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Admin Dashboard
Technology Stack
AI / Face Recognition
Python, OpenCV, MediaPipe, FaceNet
Machine Learning
TensorFlow, Deep Learning Models for Face Embeddings
Backend
FastAPI or Node.js, JWT Authentication, REST APIs
Frontend
HTML, Tailwind CSS, Charts & Dashboards
Data Storage
PostgreSQL, Secure Image Storage
Use Cases
- • Schools & Colleges
- • IT Companies
- • Factories
- • Coaching Institutes
- • Government Offices
- • Enterprises
Business Impact
- Up to 80% reduction in attendance time
- Eliminates proxy attendance
- Improved data accuracy
- Secure and contactless solution