CUTTING EDGE IOT TECHNOLOGY FOR SMART INDIAN PHARMA

Authors

  • Abdikhadar Daud Abdulle,Mahmoud Mustafa Mustafa Hajidrs,Mouktar Hassan Awaleh,ABDULAHI NUR AHMED,Abdillahi Mohamed Abdi Author

DOI:

https://doi.org/10.64751/

Abstract

The primary objective is to delve into the possibilities and benefits of implementing IoT in the pharmaceutical sector. This involves understanding how IoT technology can be strategically employed to enhance various facets of smart pharma operations in India. The project aims to contribute to the advancement of the Indian pharmaceutical industry by focusing on smart pharma operations. Through the integration of IoT technology and sensors, the goal is to identify and implement innovative solutions that can improve efficiency, traceability, and overall performance within the sector. The project focuses on different levels integral to establishing a robust IoT-based pharmaceutical system. It aims to provide valuable insights into the integration of IoT at various levels of the pharmaceutical industry, laying the groundwork for a comprehensive and effective IoT ecosystem. The project incorporates machine learning algorithms to predict patient health conditions and identify disease trends. By leveraging data acquired through IoT and sensors, the objective is to develop accurate and proactive models that can contribute to early detection and management of health issues. The project is organized into distinct phases to ensure a systematic approach. This includes the acquisition of data and information through IoT devices and sensors, as well as the effective management of IoT systems within the specific context of smart pharma. These structured phases aim to facilitate a seamless integration process and optimize the overall effectiveness of the IoT-based system.

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Published

22-09-26

How to Cite

Abdikhadar Daud Abdulle,Mahmoud Mustafa Mustafa Hajidrs,Mouktar Hassan Awaleh,ABDULAHI NUR AHMED,Abdillahi Mohamed Abdi. (2026). CUTTING EDGE IOT TECHNOLOGY FOR SMART INDIAN PHARMA. American Journal of AI Cyber Computing Management, 6(3), 1032-1035. https://doi.org/10.64751/