MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521118093 A) filed by Naina Kokate; Parshv Runwal; Sameera Jape; Sanchita Desai; and Manasi Rane, Pune, Maharashtra, on Nov. 27, 2025, for 'machine learning-driven multi-user pill dispenser with secure authentication.'

Inventor(s) include Naina Kokate; Parshv Runwal; Sameera Jape; Sanchita Desai; and Manasi Rane.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "An automated, AI-driven medication dispenser system for safe, customized, and contamination-free dispensing in multi-user settings is outlined in the present invention. The device has a container that holds several detachable, user-specific drug cartridges, each of which is attached to a separate, physically separate dispensing route to avoid cross-contamination. For safe user identification, the system incorporates authentication methods including RFID and facial recognition. Only the dispensing mechanism associated with the identified user's cartridge is started by a processor upon authentication. In order to communicate with one or more wearable health monitoring devices that measure physiological data in real time, such as heart rate, blood pressure, blood glucose, oxygen saturation, temperature, and activity levels, the device incorporates Internet of Things connectivity. In order to predict the safety of medications, a cloud-based machine learning engine examines these metrics, which may include predictive trend features like rate of change, among others, together with prescription schedules and history. A decision logic unit determines whether a dose should be administered, withheld, or evaluated by a healthcare provider based on such a forecast. The system will have a privacy-protected display interface, a unified caregiver dashboard for remote supervision, and an intelligent scheduling engine that cross-references drugs across all users to identify possible drug-drug interactions. For both individual and institutional use, the invention guarantees safe, flexible, and data-driven medication management."

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