Abstract: A system and method for indoor tracking that includes a tracking device with a cell modem and a neural network program. The tracking device is placed in known positions within an indoor area to be tracked. The tracking devices requests RF data from reporting cell towers for each known position of the tracking device and feeds the known position data and RF data received from the reporting cell towers to the neural network program, enabling the neural network program to learn a correlation between the known position data and the RF data. The tracking device can then feed RF data from an unknown position to the learned correlation and enable the learned correlation to generate a predicted position of the tracking device.