Non-Invasive Blood Glucose Prediction via PPG Signals
Link to Live Project: https://medium.com/@surjeetlko5/predicting-blood-glucose-without-needles-my-ai-experiment-with-ppg-signals-5b117571736b
An experimental Machine Learning pipeline designed to predict blood glucose levels and blood pressure ranges without needles. By analyzing Photoplethysmography (PPG) datasets, I performed extensive feature engineering and signal categorization to map optical blood volume changes to glucose metrics. A deep-dive into the future of painless health monitoring!
