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Onsite

Description

Onsite is an innovative check-in system made to maximize efficiency throughout the classroom. Onsite uses facial recognition software to effectively collect and utilize machine learning to identify different individuals based on their face structure. The software is provided images of a student's face, preferably from different angles, which then checks attendance from a live camera. This software would reduce unnecessary time wasted recording attendance and supply students with more time reviewing coursework.

Teammates: Binh Le, Casey Le, Nick Kang, James Zhang

About

Project OnSite is a facial recognition program that is designed to take attendance in a matter of seconds. Built in 24 hrs at Citrus Hack. Recipient of 3 categories.

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