Tremors can be described as an involuntary and uncontrollable movement of parts of the body. They are classified based on characteristics like frequency, amplitude, activation, among others. Such parameters are essential to identify so that better treatment can be provided to patients suffering from tremor conditions. Electromyography (EMG) is a diagnostic procedure to assess the health of muscles and motor neurons. Though used in the past, EMG is expensive, invasive, and potentially painful. Therefore, there is the need to create a painless, affordable, fast, and effective apparatus that can gather, quantify, and classify tremor parameters from patients, resulting in a short list of possible diagnoses which can be narrowed down by a physician. This research aims to create a Tremor Diagnosis Device (TDD) using an accelerometer, Raspberry Pi 4, and Python code.