An end‑to‑end offline attendance system with face detection was developed for a remote workforce management company facing unreliable internet connectivity. The client required a hands‑free attendance solution that could operate efficiently on low‑powered Android devices without relying on network access. To address this, a deep learning–based facial recognition system was designed to mark attendance offline using AI technology with reliable accuracy. The system enabled employees to record attendance seamlessly in low‑connectivity environments while reducing manual effort and errors. By functioning entirely offline, the solution ensured continuity, accuracy, and efficiency in workforce attendance tracking, even in areas with limited or no internet access.

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