Design of a personalized water intake monitoring system using rfid-enabled smart bottle station and mobile application with target intake estimation
Abstract
Underhydration remains common, while existing digital and sensor-based tools still depend on manual entry, single-user wearables, or fixed profile-based targets, limiting practicality and adherence in shared or institutional settings. Recent smart-bottle systems automate volume capture, but they lack reliable multi-user identification and individualized targets, so scalable, low-burden monitoring remains unmet. This research address this by designing an RFID-enabled Smart Bottle Station that pairs a load cell with user identification, a Laravel backend, and an Android app, with two-way communication over REST and WebSocket for live status and control. Each interaction is logged with weight and timestamps, then filtered into valid drinking events using weight delta, temporal coherence, and scan pairing. In a four-month deployment with three participants, the system recorded 1,747 raw entries and retained 904 valid drinking events. Functional tests confirmed weight sensing, RFID identification, data synchronization, and remote commands. Results show that the platform accurately distinguishes real intake in a multi-user setting and supports personalized logging with minimal manual input. Across users, daily intake trends increased over time, indicating consistent engagement with the system and the practical feasibility of automated, shared-use hydration monitoring.
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