EyeAmHere

Student Login Page
Admin Dashboard
Student Registration Process
Proxy Detection
Successful Attendance marking
Admin dashboard analytics
Attendance alerts
Real time analysis

Inspiration

Traditional attendance systems are slow, easy to manipulate, and waste valuable class time. We wanted to create a smarter and secure solution that removes proxy attendance and makes attendance management effortless. Moreover, we focused on student engagement which is main concern in almost all institutions nowadays.

What it does

EyeAmHere is an AI-powered smart attendance system that uses face recognition with liveness detection to ensure only a real, physically present student can mark attendance. It records attendance in seconds and provides reports, analytics, and alerts.

How we built it

We built EyeAmHere using Python, Streamlit, OpenCV, and SQLite. Face recognition and anti-spoofing modules were integrated with a user-friendly dashboard for attendance management.

Challenges we ran into

Handling lighting variations, improving recognition accuracy, preventing spoofing using photos/videos, and optimizing performance for real-time use were key challenges.

Accomplishments that we're proud of

We created a working offline-first attendance system with secure face verification, quick processing, analytics dashboard, and practical real-world usability.