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@article{162086,
        author = {Sindhuja.R and Narmadha.M and Nithyabharathi.S and Nandhakumar.G},
        title = {An IOT based non invasive blood glucose monitoring system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {7},
        pages = {399-402},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162086},
        abstract = {Diabetes is a condition that affects one's blood glucose levels. It is important to monitor one's blood glucose levels. In this project, we will introduce a non-invasive device that can be used with the Raspberry Pi to test and monitor glucose levels. The classification model was used to identify the characteristics of individuals with diabetes. The data collected from this project were then used to develop a one-factor analysis framework that can be used to analyze the different aspects of the disease. In addition to the development of a non-invasive device, the challenges encountered by the researchers in developing this model are also related to the various aspects of the disease},
        keywords = {LCD display, Raspberry pi module, Raspberry, pi Camera, Wi-fi module, 3d printed Case},
        month = {},
        }