This project aims to design and develop a Smart Medicine Reminder and Monitoring System that helps patients take their medicines on time and in the correct dosage. The system is especially useful for elderly people, patients undergoing long-term treatment, and caregivers who need to monitor medication schedules. The smart medicine box contains multiple compartments for storing different tablets. Users or caregivers can program the medicine name, dosage quantity, and medication timings through a web page or mobile application. The scheduled information is stored and monitored by a Raspberry Pi, which acts as the central controller of the system. IR sensors are placed inside the medicine compartments to detect whether the medicine has been taken. At the scheduled time, the system provides an audible reminder through the APR33A3 voice playback module, announcing the medicine name and dosage details. If the medicine is not removed from the compartment within the specified time, the system can generate repeated alerts to ensure compliance. The medication data, reminder schedules, and status of medicine intake are monitored through a mobile application, allowing caregivers and family members to track the patient's medication adherence remotely. This smart system improves medication management, reduces the chances of missed doses, and enhances patient health and safety.      

The major features of this project are:

  To remind patients to take medicines at scheduled times.

  To monitor medicine intake using IR sensors.

  To provide voice-based medicine alerts through the APR33A3 module.

  To enable remote monitoring through a mobile application.

  To reduce missed doses and improve medication adherence.

  To assist elderly people and patients in managing their medications effectively.

  To maintain a record of medicine consumption for better healthcare monitoring.      

The major building blocks of this project are:  

1. Power supply from adapter
2. Raspberry Pi zero 2W.
3. IR Sensors
4. Wi-Fi
5. APR33A3 Voice Module with Speaker.
6. LCD display.

      Software’s used:    

1. Raspbian OS.
2. Python programming.
3. Express SCH for Circuit design.

     

Block Diagram:

     

video: