Abstract: This research focuses on building an attendance system using face detection. The existing form of biometric attendance tracking is time consuming and inefficient as users generally have to ...
In the LLM era, the number of models is exploding. Different models vary across capability, scale, cost, and privacy boundaries. Choosing and connecting the right models to build semantic AI ...
Abstract: This paper is about the biometric attendance management. The automatic attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain.
A secure, IoT-powered attendance tracking system using fingerprint recognition, MQTT communication, AWS cloud storage, and a web-based management interface. Built as part of the M.Tech program in ...
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