The effect of external resistance induced shorting on the impedance response of lithium-ion batteries of varying states of health before, during, and after charging cycles will be determined. Multiple machine learning models will be created to estimate shorting resistance of LFP cells. The highest performing machine learning model will be embedded into a microcontroller of a programmable charger for a live demonstration of impedance-based shorting resistance estimation.