Traditional attendance systems are often time-consuming, prone to errors, and inefficient. To address these issues, there is a need for an automated, accurate solution. This project proposes a hybrid mobile application, compatible with Android and iOS, that uses facial recognition technology to streamline attendance tracking
Nayan-Kute21/Attendance-Tracking-System
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