Pulse oximetry is a widely used non-invasive technique for estimating peripheral oxygen saturation (SpO2) and heart rate. This paper presents the design and development of a compact, low-cost pulse oximeter prototype based on an Arduino Nano and a MAX30102 optical sensor. The proposed system acquires red and infrared photoplethysmography signals from a fingertip, processes the waveform through embedded code, and displays heart rate and oxygen saturation on a local display in real time. The work