• I.Vignesh
• Mrs.D.Nithiya Priya
• T.Surendaran
• S.Rajamanickam

There's worldwide demand for an affordable glucose monitoring solution, which is a particularly critical need in developing countries. The Desktop, which is the most entered device in both rich and resource constrained areas, would be a suitable choice to make this result. This design proposes a noninvasive position dimension processes. Also its compared the variation in data collection spots, memoir signal processing ways, theoretical foundations, photoplethysmography ( PPG) signal and features birth process, machine- learning algorithms, and prediction models to calculate glucose level. This analysis was also used to recommend realistic approaches to make a Desktop- grounded point- of- care tool for glucose measurement in a Non-Invasive manner.

Acetone, Non-invasive, Machine Learning, Feature Extraction

"NON-INVASIVE METHOD OF GLUCOSE LEVEL DETERMINATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p583-p587, April-2024, Available :http://www.jetir.org/papers/JETIR2404G76.pdf

"NON-INVASIVE METHOD OF GLUCOSE LEVEL DETERMINATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp583-p587, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G76.pdf