Recent innovations in mobile computing and AI, as well as recent advancements in wireless networking and big data technologies like 5G, medical big data data analysis, and the Web of Things, are paving the way for the creation and roll out of novel diabetes tracking systems and applications. It is crucial to develop efficient approaches for the identification and management of diabetes due to the long-term and systemic damage experienced by patients. In this article, we use the results of our research to divide these approaches into two categories: Diabetes 1.0 and Diabetes 2.0. Both of these approaches have serious flaws in their networking and intelligence. To this end, we're working to develop a smart, efficient, and cost-effective method of diagnosing and treating diabetes at an individual level. In this piece, we first present the 5G-Smart Diabetic system, which utilizes cutting-edge tools like wearable 2.0, artificial intelligence, and big data to provide in-depth sensing and evaluation for diabetic patients. After that, we show you how 5G-Smart Diabetes uses a centralized data repository and a unique data analysis model for each individual patient. At the end, we construct a 5G-Smart Diabetic testbed with wearable sensors, mobile devices, and large data clouds to analyze the results. The trial findings demonstrate the effectiveness of our method in providing patients with individualized recommendations for diagnosis and therapy