Abstract: Disclosed is a photoplethysmography-based non-invasive diabetes prediction system, comprising an optical signal transmitter, a driving circuit, a receiving circuit and a processor module. The optical signal transmitter, when driven by the driving circuit, obtains and emits an optical signal of a fixed wavelength and intensity. The receiving circuit converts a received optical signal of photoplethysmography into an electrical signal of photoplethysmography, performs amplification, filtering, digital-analog conversion, and sends the digital photoplethysmography signal to the processor module. The processor module performs signal processing, feature extraction, modeling and prediction on the digital photoplethysmographic signal, and visually displays same. The photoplethysmography-based non-invasive diabetes prediction system and method can achieve non-invasive, real-time and convenient diabetes screening and disease risk prediction.