This project demonstrates the use of a physics informed neural network to estimate the state of ground vehicles The data is generated using matlab-simulink ( A 3DOF bicycle model is considered) The modules of Extended Kalman Filter and LSTM are implemented The PINN is implemented using the LSTM in succession with the EKF The results can be verified by the graphs attached