Abstract: This research presents the development and implementation of a Face Recognition-based Attendance Collection system designed to automate attendance processes in institutional settings.

“The system runs inside a Python virtual environment to ensure dependency stability, especially for facial recognition libraries like dlib and OpenCV.” This is a perfect technical justification.

As 2026 approaches, American cities are undergoing unprecedented digital transformations that promise to reshape urban living. With major global events on the horizon—including the 2026 FIFA World Cup ...

An automated attendance management system for educational institutions that uses facial recognition for student identification and emotion detection for engagement analysis.

The Raspberry Pi might sound like dessert, but it's actually a credit card–sized computer changing the world of DIY tech. First launched in 2012 by the Raspberry Pi Foundation, it was designed to make ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

The Navy is encouraging small businesses to create tools to make data from the Maven Smart System, and similar platforms, more accessible, a top service official said Tuesday during his keynote ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...