In recent years, significant advances in digital health made possible to provide more personalized and timely care, and health systems to become more efficient. With this study, we propose a multi-parameter device, at a prototypal level, which represents a convenient and efficient solution in order to accurately monitor health and collect vital data: it is able to return blood pressure values, heart rate, blood oxygen saturation levels and body temperature, relying only on two different sensors, multi-wavelength photoplethysmography (PPG) and thermal camera, combined with AI algorithms. The performances are promising, with an average relative error of less than 5% for heart rate and blood saturation, and a Mean Absolute Error of 5.08 ± 8.83 mmHg and 4.37 ± 7.08 mmHg for systolic and diastolic pressure respectively. The MLX90640 thermal camera accurately measured patients body temperature in a non-invasive and continuous manner, with a maximum absolute error equal to 0.2  \(^\circ \) C.