An Intelligent IoT-Enabled Automated Medicine Dispensing and Health Management System

In recent days the conventional pharmacy and dispensary have become a basic need of anyone. Integrating IoT, robotics with an assistive machine learning is an effective solution for this. This work proposes an automated and IoT-enabled pharmacy dispensary system, which incorporates robotics, embedded control, and rule-based control logic ensuring safe, automated medicine dispensing and management. This consists of a web interface connected to the hardware unit driven by microcontrollers, operating servo-driven drawers and sensors for precision in the dispensing act. It has a rule-based model that validates medicine selection and dispensing logic according to predefined safety and operational constraints and also a lightweight machine-learning-based system that recommends proper diet and exercise according to the variables given or taken from the user through sensors and manual input. Serial protocols present the communication between the software and hardware for real-time enactments as prescribed by the user or higher-level automated decisions. This system also maintains records of the transaction history of any user with timestamps. Also, each medicine can be accessed only after full and proper transactions. The proposed design, built on low-cost, modular components, ensures reliability, traceability, and operational efficiency in a pharmacy setting, combining web-based management, robotic automation and AI-assisted health recommendations with incorporating cloud-based data access or management capabilities.