Mobile Application Development for Diabetes Patient

The proliferation of mobile applications tailored for individuals with diabetes mellitus is on the rise, revolutionizing the management of this chronic condition. These apps offer diverse modules to address the multifaceted needs of diabetes patients, with logging functions being a common feature. While some apps offer basic logging capabilities, others provide more detailed options, including the recording of physical activity, stress levels, and even geolocation data. Furthermore, advancements in artificial intelligence have enhanced these applications, incorporating predictive modules for forecasting blood glucose levels. Our mobile application distinguishes itself with decision support functions, leveraging ongoing research in physical activity detection and reinforcement learning-based insulin regulation. Emphasizing secure medical data management, robust security measures are integrated into our platform. In this article, we introduce a comprehensive mobile application aimed at effectively managing diabetes patients while providing monetization avenues. Key features include doctor-related functionalities and a blood glucose prediction module tailored to individual parameters. A detailed guide on module utilization and monetization strategies will be presented, along with insights into potential future developments.