Adaptive filters have gained popularity over the years due to their ability to adapt themselves to different environmental scenarios without the user taking much action. Here, an adaptive noise cancellation filter technique is put into practice. The Recursive Least Square (RLS) algorithm is used in the filter design because it is computationally straightforward, exhibits robust performance when implemented in hardware with finite precision, and exhibits well-understood convergence performance. Through the use of the MATLAB/Simulink tool, the RLS algorithm can verify the accuracy and responsiveness of the adaptive noise cancellation filter. Utilizing the Xilinx Tool Box, this algorithm is implemented using the Simulink model as a guide. The System Generator ("SysGen") tool in the Xilinx block set is used to build the bit file that can be downloaded onto the FPGA through hardware co-simulation in order to construct the adaptive filter on Xilinx. The study proposes an adaptive noise cancellation filter that uses the noise-cancelling RLS algorithm, and the outcomes are verified by visualising the output using MATLAB.