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@article{181555,
        author = {Rahul L and Renit Rajan R and Ashwin J.S and Jasmin CJ},
        title = {AI - POWERED SMART GLUCOSE MONITORING AND INSULIN MANAGEMENT SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {4492-4497},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181555},
        abstract = {Diabetes management effectiveness is predicated on the capacity to continuously monitor blood glucose and provide personalized insulin regulation to fit an individual's individual dietary habits and metabolic profile. Traditional systems have poor adaptation to regional preferences for food and cultural patterns of eating, and this has an enormous effect on glucose fluctuations. To this end, the proposed project presents an AI based glucose and insulin monitoring system, which, with the deep learning technologies, provides highly personalized care to diabetic patients. In this system, a dense neural network model is trained on the comprehensive datasets which include patient medical history, metabolic response, the glycaemic indices of the commonly consumed regional foods and individualized eating behaviours. Such context-aware data can be integrated with the model to learn patterns in the glucose variation post meals and even make more precise predictions about blood glucose trends. In addition, it also suggests the correct dietary changes and optimal insulin dosing schedules for the physiological entity and the cultural profile of the user. The AI system is real time application in mind, having the wearable sensors and IoT connectivity for a continuous data acquisition and analysis. It is adaptive over time to new data inputs and keeps its predictions and recommendations valid and accurate. The continuous learning capability obviously facilitates the system's high effectiveness for hyperglycaemia and hypoglycaemia prevention. Through intelligent computation power coupled with personalized health data, the system allows patients to have a sense of actionability and precise management strategy.},
        keywords = {AI in healthcare, glucose prediction, insulin management, deep learning, personalized medicine},
        month = {June},
        }